Results for 'histology'

7 found
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  1. Predicting Tumor Category Using Artificial Neural Networks.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (2):1-7.
    In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...)
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  2. An improved ontological representation of dendritic cells as a paradigm for all cell types.Masci Anna Maria, N. Arighi Cecilia, D. Diehl Alexander, E. Lieberman Anne, Mungall Chris, H. Scheuermann Richard, Barry Smith & G. Cowell Lindsay - 2009 - BMC Bioinformatics 10 (1):70.
    The Cell Ontology (CL) is designed to provide a standardized representation of cell types for data annotation. Currently, the CL employs multiple is_a relations, defining cell types in terms of histological, functional, and lineage properties, and the majority of definitions are written with sufficient generality to hold across multiple species. This approach limits the CL’s utility for cross-species data integration. To address this problem, we developed a method for the ontological representation of cells and applied this method to develop a (...)
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  3. Histomorphological Study of Umbilical Cord on 50 Bangladeshi.Shamima Parvin Lasker, Md Harun-Ar- Rashid, Manzare Shamim Khondker & Montazer Rahman Sarker - 2000 - Bangladesh Medical College Journal 5 (1):18-22.
    Microscopic study was done on 50 human umbilical cords in the Department of Anatomy, during January to December 1998 at Bangabandhu Sheikh Mujib Medical University, Dhaka. The basic structure of the umbilical cord was observed. The covering of umbilical cord varied on two sides. The side overlying the umbilical vein was covered by simple epithelium and that overlying the umbilical arteries was covered by multilayer epithelium. Presence of internal elastic lamina of umbilical arteries was found in 18% and in the (...)
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  4. Gametogênese Animal: Espermatogênese e Ovogênese.Emanuel Isaque Cordeiro da Silva - manuscript
    GAMETOGÊNESE -/- Emanuel Isaque Cordeiro da Silva Instituto Agronômico de Pernambuco Departamento de Zootecnia – UFRPE Embrapa Semiárido -/- • _____OBJETIVO -/- Os estudantes bem informados, estão a buscando conhecimento a todo momento. O estudante de Veterinária e Zootecnia, sabe que a Reprodução é uma área de primordial importância para sua carreira. Logo, o conhecimento da mesma torna-se indispensável. No primeiro trabalho da série fisiologia reprodutiva dos animais domésticos, foi abordado de forma clara, didática e objetiva os mecanismos de diferenciação (...)
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  5. ANN for Diagnosing Hepatitis Virus.Fathi Metwally, Khaled AbuSharekh & Bastami Bashhar - 2017 - International Journal of Academic Pedagogical Research (IJAPR) 11 (2):1-6.
    Abstract: This paper presents an artificial neural network based approach for the diagnosis of hepatitis virus. A number of factors that may possibly influence the performance of patients were outlined. Such factors as age, sex, Steroid, Antivirals, Fatigue, Malaise, Anorexia, Liver Big, Liver Firm Splean Palpable, Spiders, Ascites, Varices, Bilirubin, Alk Phosphate, SGOT, Albumin, Protine and Histology, were then used as input variables for the ANN model . Test data evaluation shows that the ANN model is able to correctly (...)
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  6. Behind Civilization: the fundamental rules in the universe.Huang Gavin (ed.) - 2022 - Sydney, Australia: Gavin Huang.
    In this new edition, a hypothesis is put forward for the first time to unify the Big Bang theory and the evolutionary theory by showing both events following the same set of fundamental interrelationships. As the evolution of life is a part of the evolutions of the universe, these two events express many fundamental similarities (this is self-similarity, which means a part of the system is similar to the whole system). Based on the same principle, the evolution of multicellular organisms, (...)
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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 breast cancer hot-spot detection with (...)
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