Search Results - "Silva, Vitor Werneck Krauss"
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Cytologic features of upper gynecologic tract adenocarcinomas exhibiting mesonephric‐like differentiation
Published in Cancer cytopathology (01-08-2019)“…Background Mesonephric adenocarcinomas are rare neoplasms which most commonly arise in the lateral cervix and vagina. Tumors with similar morphologic,…”
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Published in Nature medicine (01-08-2019)“…The development of decision support systems for pathology and their deployment in clinical practice have been hindered by the need for large manually annotated…”
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Assessment of cytologic differentiation in high‐grade pancreatic neuroendocrine neoplasms: A multi‐institutional study
Published in Cancer (01-01-2018)“…BACKGROUND Well‐differentiated (WD) and poorly differentiated (PD) pancreatic neuroendocrine neoplasms are biologically distinct entities with different…”
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Well differentiated grade 3 pancreatic neuroendocrine tumors compared with related neoplasms: A morphologic study
Published in Cancer cytopathology (01-05-2018)“…BACKGROUND Pancreatic neuroendocrine neoplasms with a Ki‐67 labeling index greater than 20% were reclassified in 2017 by the World Health Organization into…”
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Biliary carcinomas: pathology and the role of DNA mismatch repair deficiency
Published in Chinese Clinical Oncology (01-10-2016)“…The pathology of biliary carcinomas is diverse with different gross and histological features in tumors arising in the different segments of the biliary…”
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Artificial intelligence as a tool for diagnosis in digital pathology whole slide images: A systematic review
Published in Journal of pathology informatics (01-01-2022)“…Digital pathology had a recent growth, stimulated by the implementation of digital whole slide images (WSIs) in clinical practice, and the pathology field…”
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WELL DIFFERENTIATED GRADE 3 PANCREATIC NEUROENDOCRINE TUMORS IN COMPARISON TO RELATED NEOPLASMS: A MORPHOLOGICAL STUDY
Published in Cancer cytopathology (16-02-2018)Get full text
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Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology
Published 17-05-2018“…In the field of computational pathology, the use of decision support systems powered by state-of-the-art deep learning solutions has been hampered by the lack…”
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