Limited number of cases may yield generalizable models, a proof of concept in deep learning for colon histology

Limited number of cases may yield generalizable models, a proof of concept in deep learning for colon histology

Background: Little is known about the effect of a minimum number of slides required in generating image datasets used to build generalizable machine-learning (ML) models. In addition, the assumption within deep learning is that the increased number of training images will always enhance accuracy and...

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Bibliographic Details
Main Authors: Lorne Holland, Dongguang Wei, Kristin A Olson, Anupam Mitra, John Paul Graff, Andrew D Jones, Blythe Durbin-Johnson, Ananya Datta Mitra, Hooman H Rashidi
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Journal of Pathology Informatics
Subjects:
carcinoma
colon
convolutional neural network
machine learning
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=5;epage=5;aulast=Holland

Internet

http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=5;epage=5;aulast=Holland

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