Deep learning for classification of colorectal polyps on whole-slide images

Deep learning for classification of colorectal polyps on whole-slide images

Context: Histopathological characterization of colorectal polyps is critical for determining the risk of colorectal cancer and future rates of surveillance for patients. However, this characterization is a challenging task and suffers from significant inter- and intra-observer variability. Aims: We...

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Bibliographic Details
Main Authors: Bruno Korbar, Andrea M Olofson, Allen P Miraflor, Catherine M Nicka, Matthew A Suriawinata, Lorenzo Torresani, Arief A Suriawinata, Saeed Hassanpour
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:Journal of Pathology Informatics
Subjects:
Colorectal polyps
deep learning
digital pathology
histopathological characterization
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2017;volume=8;issue=1;spage=30;epage=30;aulast=Korbar

Internet

http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2017;volume=8;issue=1;spage=30;epage=30;aulast=Korbar

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