Results for 'medical imaging'

964 found
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  1. Medical Image Classification with Machine Learning Classifier.Destiny Agboro - forthcoming - Journal of Computer Science.
    In contemporary healthcare, medical image categorization is essential for illness prediction, diagnosis, and therapy planning. The emergence of digital imaging technology has led to a significant increase in research into the use of machine learning (ML) techniques for the categorization of images in medical data. We provide a thorough summary of recent developments in this area in this review, using knowledge from the most recent research and cutting-edge methods.We begin by discussing the unique challenges and opportunities associated (...)
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  2. Advancements in AI for Medical Imaging: Transforming Diagnosis and Treatment.Zakaria K. D. Alkayyali, Ashraf M. H. Taha, Qasem M. M. Zarandah, Bassem S. Abunasser, Alaa M. Barhoom & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (8):8-15.
    Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and (...)
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  3.  54
    Harnessing Artificial Intelligence to Enhance Medical Image Analysis.Malak S. Hamad, Mohammed H. Aldeeb, Mohammed M. Almzainy, Shahd J. Albadrasawi, Musleh M. Musleh, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Health and Medical Research (IJAHMR) 8 (9):1-7.
    Abstract: The integration of Artificial Intelligence (AI) into medical imaging marks a transformative advancement in healthcare, significantly enhancing diagnostic accuracy, efficiency, and patient outcomes. This paper delves into the application of AI technologies in medical image analysis, with a particular focus on techniques such as convolutional neural networks (CNNs) and deep learning models. We examine how these technologies are employed across various imaging modalities, including X-rays, MRIs, and CT scans, to improve disease detection, image segmentation, and (...)
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  4. The Use of Machine Learning Methods for Image Classification in Medical Data.Destiny Agboro - forthcoming - International Journal of Ethics.
    Integrating medical imaging with computing technologies, such as Artificial Intelligence (AI) and its subsets: Machine learning (ML) and Deep Learning (DL) has advanced into an essential facet of present-day medicine, signaling a pivotal role in diagnostic decision-making and treatment plans (Huang et al., 2023). The significance of medical imaging is escalated by its sustained growth within the realm of modern healthcare (Varoquaux and Cheplygina, 2022). Nevertheless, the ever-increasing volume of medical images compared to the availability (...)
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  5. Reliability of molecular imaging diagnostics.Elisabetta Lalumera, Stefano Fanti & Giovanni Boniolo - 2021 - Synthese (S23):5701-5717.
    Advanced medical imaging, such as CT, fMRI and PET, has undergone enormous progress in recent years, both in accuracy and utilization. Such techniques often bring with them an illusion of immediacy, the idea that the body and its diseases can be directly inspected. In this paper we target this illusion and address the issue of the reliability of advanced imaging tests as knowledge procedures, taking positron emission tomography in oncology as paradigmatic case study. After individuating a suitable (...)
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  6. From Photography to fMRI: Epistemic Functions of Images in Medical Research on Hysteria.Paula Muhr - 2022 - Bielefeld: Transcript.
    Hysteria, a mysterious disease known since antiquity, is said to have ceased to exist. Challenging this commonly held view, this is the first cross-disciplinary study to examine the current functional neuroimaging research into hysteria and compare it to the nineteenth-century image-based research into the same disorder. Paula Muhr's central argument is that, both in the nineteenth-century and the current neurobiological research on hysteria, images have enabled researchers to generate new medical insights. Through detailed case studies, Muhr traces how different (...)
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  7. Developing the Quantitative Histopathology Image Ontology : A case study using the hot spot detection problem.Metin Gurcan, Tomaszewski N., Overton John, A. James, Scott Doyle, Alan Ruttenberg & Barry Smith - 2017 - Journal of Biomedical Informatics 66:129-135.
    Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to (...)
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  8. Randomized Controlled Trials for Diagnostic Imaging: Conceptual and Pratical Problems.Elisabetta Lalumera & Stefano Fanti - 2019 - Topoi 38 (2):395-400.
    We raise a problem of applicability of RCTs to validate nuclear diagnostic imaging tests. In spite of the wide application of PET and other similar techniques that use radiopharmaceuticals for diagnostic purposes, RCT-based evidence on their validity is sparse. We claim that this is due to a general conceptual problem that we call Prevalence of Treatment, which arises in connection with designing RCTs for testing any diagnostic procedure in the present context of medical research, and is particularly apparent (...)
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  9. Limits of trust in medical AI.Joshua James Hatherley - 2020 - Journal of Medical Ethics 46 (7):478-481.
    Artificial intelligence (AI) is expected to revolutionise the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in variety of clinical tasks: detecting diabetic retinopathy from images, predicting hospital readmissions, aiding in the discovery of new drugs, etc. AI’s progress in medicine, however, has led to concerns regarding the potential effects of this technology on relationships of trust in clinical practice. In this paper, I will argue that there is merit to these concerns, since AI (...)
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  10. Evaluation of the Image Quality of Ultra-Low-Dose Paranasal Sinus Computed Tomography Scans.Melih Akşamoğlu & Mehmet Sait Menzilcioğlu - 2023 - European Journal of Therapeutics 29 (2):143-148.
    Objective: We aimed to investigate the image quality of paranasal sinus computed tomography (CT) scans obtained with the “Advanced intelligent Clear-IQ Engine” (AICE) software and ultra-low dose parameters in patients with prediagnosed rhinitis, sinusitis or nasal septum deviation. -/- Methods: The first 50 patients (31 men and 19 women, aged 18-70 years) who agreed to participate in our prospectively planned study were included in the study. Imaging of the patients was performed with a 160-slice multidetector CT device Canon Aquilion (...)
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  11. Speech acts and medical records: The ontological nexus.Lowell Vizenor & Barry Smith - 2004 - In Jana Zvárová (ed.), Proceedings of the International Joint Meeting EuroMISE 2004.
    Despite the recent advances in information and communication technology that have increased our ability to store and circulate information, the task of ensuring that the right sorts of information gets to the right sorts of people remains. We argue that the many efforts underway to develop efficient means for sharing information across healthcare systems and organizations would benefit from a careful analysis of human action in healthcare organizations. This in turn requires that the management of information and knowledge within healthcare (...)
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  12. Medicine, symbolization and the 'real' body: Lacan's understanding of medical science.Hub Zwart - 1998 - Medicine, Health Care and Philosophy 1 (2):107-117.
    Throughout the 20th century, philosophers have criticized the scientific understanding of the human body. Instead of presenting the body as a meaningful unity or Gestalt, it is regarded as a complex mechanism and described in quasi-mechanistic terms. In a phenomenological approach, a more intimate experience of the body is presented. This approach, however, is questioned by Jacques Lacan. According to Lacan, three basic possibilities of experiencing the body are to be distinguished: the symbolical (or scientific) body, the imaginary (or ideal) (...)
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  13. Organization of the corporate style of the medical institution: functions and components.Oleksandr P. Krupskyi & Yuliya Stasiuk - 2023 - Time Description of Economic Reforms 1:87-95.
    Today's realities require medical institutions to take more careful account of intangible factors that make up an irreplaceable component of cultural characteristics. Changes in the socio-economic conditions of economic activity have led to increased attention of the management of medical institutions to the need to form a corporate style that will provide additional competitive advantages. The purpose of the study is to identify the functions and elements of the corporate style of a medical institution and its subdivisions, (...)
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  14. Ethical considerations in functional magnetic resonance imaging research in acutely comatose patients.Charles Weijer, Tommaso Bruni, Teneille Gofton, G. Bryan Young, Loretta Norton, Andrew Peterson & Adrian M. Owen - 2015 - Brain:0-0.
    After severe brain injury, one of the key challenges for medical doctors is to determine the patient’s prognosis. Who will do well? Who will not do well? Physicians need to know this, and families need to do this too, to address choices regarding the continuation of life supporting therapies. However, current prognostication methods are insufficient to provide a reliable prognosis. -/- Functional Magnetic Resonance Imaging (MRI) holds considerable promise for improving the accuracy of prognosis in acute brain injury (...)
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  15. Classification of Anomalies in Gastrointestinal Tract Using Deep Learning.Ibtesam M. Dheir & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):15-28.
    Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have (...)
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  16. Classification of Alzheimer’s Disease Using Traditional Classifiers with Pre-Trained CNN.Husam R. Almadhoun & Samy S. Abu-Naser - 2021 - International Journal of Academic Health and Medical Research (IJAHMR) 5 (4):17-21.
    Abstract: Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear gradually and end with severe brain damage. People with Alzheimer's disease lose the abilities of knowledge, memory, language and learning. Recently, the classification and diagnosis of diseases using deep learning has emerged as an active topic covering a wide range of applications. This paper proposes examining abnormalities in brain structures and detecting cases of Alzheimer's disease especially in the early stages, using features derived from (...) images. The entire brain image was passed on through the transmission of Xception learning architectures. The Convolutional Neural Network (CNN) was constructed with the help of separable convolution layers that It can automatically learn general features from imaging data for classification. (shrink)
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  17.  63
    An Experimental Analysis of Revolutionizing Banking and Healthcare with Generative AI.Sankara Reddy Thamma - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):580-590.
    Generative AI is reshaping sectors like banking and healthcare by enabling innovative applications such as personalized service offerings, predictive analytics, and automated content generation. In banking, generative AI drives customer engagement through tailored financial advice, fraud detection, and streamlined customer service. Meanwhile, in healthcare, it enhances medical imaging analysis, drug discovery, and patient diagnostics, significantly impacting patient care and operational efficiency. This paper presents an experimental study examining the implementation and effectiveness of generative AI in these sectors.
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  18.  85
    Multimodal Artificial Intelligence in Medicine.Joshua August Skorburg - forthcoming - Kidney360.
    Traditional medical Artificial Intelligence models, approved for clinical use, restrict themselves to single-modal data e.g. images only, limiting their applicability in the complex, multimodal environment of medical diagnosis and treatment. Multimodal Transformer Models in healthcare can effectively process and interpret diverse data forms such as text, images, and structured data. They have demonstrated impressive performance on standard benchmarks like USLME question banks and continue to improve with scale. However, the adoption of these advanced AI models is not without (...)
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  19. The quantization error in a Self-Organizing Map as a contrast and color specific indicator of single-pixel change in large random patterns.Birgitta Dresp-Langley - 2019 - Neural Networks 120:116-128..
    The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation time, highly meaningful changes across images in medical time series and in time series of satellite images. Here, the functional properties of the quantization error in SOM are explored further to show that the metric is capable of reliably discriminating between the finest differences in local contrast intensities and contrast signs. While this capability of the QE (...)
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  20. Philosophical Ruminations about Embryo Experimentation with Reference to Reproductive Technologies in Jewish “Halakhah”.Piyali Mitra - 2017 - IAFOR Journal of Ethics, Religion and Philosophy 3 (2):5-19.
    The use of modern medical technologies and interventions involves ethical and legal dilemmas which are yet to be solved. For the religious Jews the answer lies in Halakhah. The objective of this paper is to unscramble the difficult conundrum possessed by the halakhalic standing concerning the use of human embryonic cell for research. It also aims to take contemporary ethical issues arising from the use of technologies and medical advances made in human reproduction and study them from an (...)
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  21. Psychological Counseling for Adult Clients.Igor Bushai - 2018 - Psychology and Psychosocial Interventions 1:20-24.
    The article analyzes methodological and practical approaches of psychological counseling for adult clients. General psychological problems of this age group are generalized; the concept of restoration of balance between the image of the world and the image of the “I” of clients as the main internal mechanism of mental equilibrium is substantiated; the aspects of professional training of a psychologist to advisory practice with adults are considered. -/- The urgent problem of psychological counseling for adult clients is to help them (...)
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  22. Diagnosing Breast Cancer Using Expert System.Suheir H. Almurshidi - 2018 - Dissertation, Al-Azhar University, Gaza
    The “Expert System for Diagnosing Breast Cancer" is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there are 1502 cases of (...)
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  23. Breast Cancer Knowledge Based System.Mohammed H. Aldeeb & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems 7 (6):46-51.
    Abstract: The Knowledge-Based System for Diagnosing Breast Cancer aims to support medical students in enhancing their education regarding diagnosis and counseling. The system facilitates the analysis of biopsy images under a microscope, determination of tumor type, selection of appropriate treatment methods, and identification of disease-related questions. According to the Ministry of Health's annual report in Gaza, there were 7,069 cases of breast cancer between 2009 and 2014, with 1,502 cases reported in 2014. In an era dominated by visual information, (...)
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  24. Mad Speculation and Absolute Inhumanism: Lovecraft, Ligotti, and the Weirding of Philosophy.Ben Woodard - 2011 - Continent 1 (1):3-13.
    continent. 1.1 : 3-13. / 0/ – Introduction I want to propose, as a trajectory into the philosophically weird, an absurd theoretical claim and pursue it, or perhaps more accurately, construct it as I point to it, collecting the ground work behind me like the Perpetual Train from China Mieville's Iron Council which puts down track as it moves reclaiming it along the way. The strange trajectory is the following: Kant's critical philosophy and much of continental philosophy which has followed, (...)
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  25. Material souls and imagination in Late Aristotelian embryology.Andreas Blank - 2010 - Annals of Science 67 (2):187-204.
    Summary This article explores some continuities between Late Aristotelian and Cartesian embryology. In particular, it argues that there is an interesting consilience between some accounts of the role of imagination in trait acquisition in Late Aristotelian and Cartesian embryology. Evidence for this thesis is presented using the extensive biological writings of the Padua-based philosopher and physician, Fortunio Liceti (1577–1657). Like the Cartesian physiologists, Liceti believed that animal souls are material beings and that acts of imagination result in material images that (...)
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  26. What Does It Mean to Be Human Today?Julia Alessandra Harzheim - forthcoming - Cambridge Quarterly of Healthcare Ethics.
    With the progress of artificial intelligence, the digitalization of the lifeworld, and the reduction of the mind to neuronal processes, the human being appears more and more as a product of data and algorithms. Thus, we conceive ourselves “in the image of our machines,” and conversely, we elevate our machines and our brains to new subjects. At the same time, demands for an enhancement of human nature culminate in transhumanist visions of taking human evolution to a new stage. Against this (...)
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  27. Seeing, Feeling, Doing: Mandatory Ultrasound Laws, Empathy and Abortion.Catherine Mills - 2018 - Journal of Practical Ethics 6 (2):1-31.
    In recent years, a number of US states have adopted laws that require pregnant women to have an ultrasound examination, and be shown images of their foetus, prior to undergoing a pregnancy termination. In this paper, I examine one of the basic presumptions of these laws: that seeing one’s foetus changes the ways in which one might act in regard to it, particularly in terms of the decision to terminate the pregnancy or not. I argue that mandatory ultrasound laws compel (...)
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  28. L'etica del Novecento. Dopo Nietzsche.Sergio Cremaschi - 2005 - Roma RM, Italia: Carocci.
    TWENTIETH-CENTURY ETHICS. AFTER NIETZSCHE -/- Preface This book tells the story of twentieth-century ethics or, in more detail, it reconstructs the history of a discussion on the foundations of ethics which had a start with Nietzsche and Sidgwick, the leading proponents of late-nineteenth-century moral scepticism. During the first half of the century, the prevailing trends tended to exclude the possibility of normative ethics. On the Continent, the trend was to transform ethics into a philosophy of existence whose self-appointed task was (...)
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  29. “Empiricism contra Experiment: Harvey, Locke and the Revisionist View of Experimental Philosophy”.Alan Salter & Charles T. Wolfe - 2009 - Bulletin d'histoire et d'épistémologie des sciences de la vie 16 (2):113-140.
    In this paper we suggest a revisionist perspective on two significant figures in early modern life science and philosophy: William Harvey and John Locke. Harvey, the discoverer of the circulation of the blood, is often named as one of the rare representatives of the ‘life sciences’ who was a major figure in the Scientific Revolution. While this status itself is problematic, we would like to call attention to a different kind of problem: Harvey dislikes abstraction and controlled experiments (aside from (...)
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  30. Predictive Modeling of Breast Cancer Diagnosis Using Neural Networks:A Kaggle Dataset Analysis.Anas Bachir Abu Sultan & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):1-9.
    Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...)
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  31. How lateral inhibition and fast retinogeniculo-cortical oscillations create vision: A new hypothesis.Jerath Ravinder, Shannon M. Cearley, Vernon A. Barnes & Elizabeth Nixon-Shapiro - 2016 - Medical Hypotheses 96:20-29.
    The role of the physiological processes involved in human vision escapes clarification in current literature. Many unanswered questions about vision include: 1) whether there is more to lateral inhibition than previously proposed, 2) the role of the discs in rods and cones, 3) how inverted images on the retina are converted to erect images for visual perception, 4) what portion of the image formed on the retina is actually processed in the brain, 5) the reason we have an after-image with (...)
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  32. Knowledge-Based System for the Diagnosis of Flatulence.Jihad Tantawi & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):23-29.
    Diagnosing flatulence involves a thorough assessment of an individual's symptoms, medical history, and, if necessary, the use of diagnostic tests. Healthcare providers gather information about the patient's medical background and conduct a physical examination to identify any signs of gastrointestinal issues. Dietary habits are evaluated, and potential triggers are identified through an elimination diet. Diagnostic tests such as breath tests, stool analysis, or imaging studies may be performed to further investigate the underlying causes of excessive flatulence. Accurate (...)
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  33. Rethinking Fetal Personhood in Conceptualizing Roe.Rosemarie Garland-Thomson & Joel Michael Reynolds - 2022 - American Journal of Bioethics 22 (8):64-68.
    In this open peer commentary, we concur with the three target articles’ analysis and positions on abortion in the special issue on Roe v. Wade as the exercise of reproductive liberty essential for the bioethical commitment to patient autonomy and self-determination. Our proposed OPC augments that analysis by explicating more fully the concept crucial to Roe of fetal personhood. We explain that the development and use of predictive reproductive technologies over the fifty years since Roe has changed the literal image, (...)
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  34. Nerve/Nurses of the Cosmic Doctor: Wang Yang-ming on Self-Awareness as World-Awareness.Joshua M. Hall - 2016 - Asian Philosophy 26 (2):149-165.
    In Philip J. Ivanhoe’s introduction to his Readings from the Lu-Wang School of Neo-Confucianism, he argues convincingly that the Ming-era Neo-Confucian philosopher Wang Yang-ming (1472–1529) was much more influenced by Buddhism (especially Zen’s Platform Sutra) than has generally been recognized. In light of this influence, and the centrality of questions of selfhood in Buddhism, in this article I will explore the theme of selfhood in Wang’s Neo-Confucianism. Put as a mantra, for Wang “self-awareness is world-awareness.” My central image for this (...)
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  35. Breast Cancer Knowledge Based System.Suheir H. Almurshidi & Samy S. Abu-Naser - 2018 - International Journal of Academic Health and Medical Research (IJAHMR) 2 (12):7-22.
    The Knowledge Based System for Diagnosing Breast Cancer is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there are 1502 cases (...)
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  36. The Encyclopedia of Neutrosophic Researchers. Volume I.Florentin Smarandache - 2016 - Gallup, NM, USA: Neutrosophic Science International Association.
    This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and (...)
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  37. The Encyclopedia of Neutrosophic Researchers. Volume III.Florentin Smarandache - 2019 - Gallup, NM, USA: Neutrosophic Science International Association.
    This is the third volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and (...)
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  38. The Encyclopedia of Neutrosophic Researchers. Volume IV.Florentin Smarandache & Maikel Leyva Vázquez - 2021 - Gallup, NM, USA: Neutrosophic Science International Association.
    This is the fourth volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and (...)
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  39. (5 other versions)The Encyclopedia of Neutrosophic Researchers, 1st volume.Florentin Smarandache - 2016 - Gallup, NM, USA: Neutrosophic Science International Association.
    This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The 78 authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. -/- Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, (...)
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  40. Prevalence of Accessory Sacroiliac Joint and Its Clinical Significance.Ömer Faruk Cihan, Rabia Taşdemir & Mehmet Karabulut - 2023 - European Journal of Therapeutics 29 (2):149-154.
    Objective: To determine the prevalence of the accessory sacroiliac joint (ASIJ) on both computed tomography (CT) images and dry bones and ultimately, to contribute to the literature. -/- Materials and Methods: CT images archived in the Radiology department of Gaziantep University Medical Faculty obtained from 145 individuals (104 males and 41 females) as well as 92 sacral bones were examined. -/- Results: The prevalence of ASIJ among 92 sacral bones was 15.2%. The ASIJ was more commonly (52%) located at (...)
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  41. Le corps dans la relation de confiance médecin‐patient dans le Corpus Hippocratique.Saja Farhat - 2022 - Ithaque 30:229-244.
    Hippocrate a contribué à l’évolution de la médecine grecque de son temps par ses observations détaillées sur les maladies et leurs effets, en insistant sur l’importance du régime et de l’environnement en ce qui concerne la santé des patients. Il s’est interrogé sur la moralité du praticien, son comportement et son attitude avec son patient afin de produire des normes éthiques solides pour départager sa médecine des conceptions magico-religieuses, des pratiques qu’il estimait douteuses, trompeuses. Certains aspects des textes du Corpus (...)
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  42. Self-blame-Selective Hyperconnectivity Between Anterior Temporal and Subgenual Cortices and Prediction of Recurrent Depressive Episodes.Karen Lythe, Jorge Moll, Jennifer Gethin, Clifford Ian Workman, Sophie Green, Matthew Lambon Ralph, J. F. William Deakin & Roland Zahn - 2015 - JAMA Psychiatry 72 (11):1119-1126.
    Importance: Patients with remitted major depressive disorder (MDD) were previously found to display abnormal functional magnetic resonance imaging connectivity (fMRI) between the right superior anterior temporal lobe (RSATL) and the subgenual cingulate cortex and adjacent septal region (SCSR) when experiencing self-blaming emotions relative to emotions related to blaming others (eg, "indignation or anger toward others"). This finding provided the first neural signature of biases toward overgeneralized self-blaming emotions (eg, "feeling guilty for everything"), known to have a key role in (...)
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  43. Enhanced Artificial Intelligence System for Diagnosing and Predicting Breast Cancer Using Deep Learning.Mona Alfifi, Mohamad Shady Alrahhal, Samir Bataineh & Mohammad Mezher - 2020 - International Journal of Advanced Computer Science and Applications 11 (7):1-17.
    Breast cancer is the leading cause of death among women with cancer. Computer-aided diagnosis is an efficient method for assisting medical experts in early diagnosis, improving the chance of recovery. Employing artificial intelligence (AI) in the medical area is very crucial due to the sensitivity of this field. This means that the low accuracy of the classification methods used for cancer detection is a critical issue. This problem is accentuated when it comes to blurry mammogram images. In this (...)
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  44. Beauty as Pride: A Function of Agency.Peg Brand Weiser - 2011 - APA Newsletter on Philosophy and Medicine 2 (10):5-9.
    This paper (presented along with others at an APA session with the late Dr. Anita Silvers commenting) explores and engages a mode of defiant challenges to the traditional, able-bodied standard of female beauty evidenced throughout the history of art as portrayed by the controversial photographer, Joel-Peter Witkin. Witkin's images of Ann Millett-Gallant, author of the book, The Disabled Body in Contemporary Art, "visualize disability" as they explore issues in agency, otherness, and the medical body.
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  45.  71
    Breakthroughs in Breast Cancer Detection: Emerging Technologies and Future Prospects.Ola I. A. Lafi, Rawan N. A. Albanna, Dina F. Alborno, Raja E. Altarazi, Amal Nabahin, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Health and Medical Research (IJAHMR) 8 (9):8-15.
    Abstract: Early detection of breast cancer is vital for improving patient outcomes and reducing mortality rates. Technological advancements have significantly enhanced the accuracy and efficiency of screening methods. This paper explores recent innovations in early detection, focusing on the evolution of digital mammography, the benefits of 3D mammography (tomosynthesis), and the application of advanced imaging techniques such as molecular imaging and MRI. It also examines the role of artificial intelligence (AI) in diagnostic tools, showing how machine learning algorithms (...)
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  46. Neuroscience v. privacy? : a democratic perspective.Annabelle Lever - 2012 - In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I know what you're thinking: brain imaging and mental privacy. Oxford: Oxford University Press. pp. 205.
    Recent developments in neuroscience create new opportunities for understanding the human brain. The power to do good, however, is also the power to harm, so scientific advances inevitably foster as many dystopian fears as utopian hopes. For instance, neuroscience lends itself to the fear that people will be forced to reveal thoughts and feelings which they would not have chosen to reveal, and of which they may be unaware. It also lends itself to the worry that people will be encouraged (...)
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  47. Spontaneous thought-related network connectivity predicts sertraline effects on major depressive disorder.Timothy Joseph Lane - 2021 - Brain Imaging and Behavior 15 (4):1705-1717.
    Sertraline is one of the most commonly prescribed antidepressants. Major depressive disorder (MDD) is characterized by spontaneous thoughts that are laden with negative affect-a "malignant sadness". Prior neuroimaging studies have identified abnormal resting-state functional connectivity (rsFC) in the spontaneous brain networks of MDD patients. But how antidepressant medication acts to relieve the experience of depression as well as adjust its associated spontaneous networks and mood-regulation circuits remains an open question. In this study, we recruited 22 drug-naïve MDD patients along with (...)
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  48. Image schemas in the Great Gatsby: A cognitive linguistic analysis of the protagonist’s psychological movement.Hicham Lahlou, Jun Zhou & Yasir Azam - 2023 - Cogent Arts and Humanities 10 (2):1-19.
    Most research on image schema examined the meaning configuration of words connotation. However, previous studies of adjectives are meaningful in cognitive linguistics because they provide insight into how those adjectives are involved with psychological movement. In this sense, from the perspective of cognitive linguistics, one’s conceptualization and cognition are closely associated with their bodily experience and surroundings; adjectives are no exception. The varieties of transformations of image schemas lay the foundation for the conception and perception. Accordingly, this study is an (...)
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  49.  88
    Images of Mercy: Narrating the Gospel through a Rwandan Catholic Shrine.Alison Fitchett-Climenhaga & Nevin Climenhaga - 2024 - In Eleonore Stump & Judith Wolfe (eds.), Biblical Narratives and Human Flourishing: Knowledge Through Narrative. Routledge. pp. 199-218.
    This chapter explores the role that non-textual narrations of biblical stories can play in Christian life and practice. Our case study is the Shrine of Divine Mercy in Kabuga, Rwanda. The stations at the shrine tell the story of Jesus’s life and passion, incorporating images from the Catholic devotional tradition of Divine Mercy and elements evoking the Rwandan genocide. While many philosophical accounts of narratives presuppose that narratives are textual, material and visual art like the Kabuga shrine can also be (...)
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  50. Why Images Cannot be Arguments, But Moving Ones Might.Marc Champagne & Ahti-Veikko Pietarinen - 2020 - Argumentation 34 (2):207-236.
    Some have suggested that images can be arguments. Images can certainly bolster the acceptability of individual premises. We worry, though, that the static nature of images prevents them from ever playing a genuinely argumentative role. To show this, we call attention to a dilemma. The conclusion of a visual argument will either be explicit or implicit. If a visual argument includes its conclusion, then that conclusion must be demarcated from the premise or otherwise the argument will beg the question. If (...)
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