Comparing deep learning and immunohistochemistry in determining the site of origin for well-differentiated neuroendocrine tumors

Comparing deep learning and immunohistochemistry in determining the site of origin for well-differentiated neuroendocrine tumors

Background: Determining the site of origin for metastatic well-differentiated neuroendocrine tumors (WDNETs) is challenging, and immunohistochemical (IHC) profiles do not always lead to a definitive diagnosis. We sought to determine if a deep-learning convolutional neural network (CNN) could improve...

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Bibliographic Details
Main Authors: Jordan Redemann, Fred A Schultz, Cathy Martinez, Michael Harrell, Douglas P Clark, David R Martin, Joshua A Hanson
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Pathology Informatics
Subjects:
artificial intelligence
convolutional neural network
deep learning
neuroendocrine tumor
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=32;epage=32;aulast=Redemann

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=32;epage=32;aulast=Redemann

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