Clinically-inspired automatic classification of ovarian carcinoma subtypes

Clinically-inspired automatic classification of ovarian carcinoma subtypes

Context: It has been shown that ovarian carcinoma subtypes are distinct pathologic entities with differing prognostic and therapeutic implications. Histotyping by pathologists has good reproducibility, but occasional cases are challenging and require immunohistochemistry and subspecialty consultatio...

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Bibliographic Details
Main Authors: Aicha BenTaieb, Masoud S Nosrati, Hector Li-Chang, David Huntsman, Ghassan Hamarneh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2016-01-01
Series:Journal of Pathology Informatics
Subjects:
Computer-aided diagnosis
machine learning
ovarian carcinoma
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2016;volume=7;issue=1;spage=28;epage=28;aulast=BenTaieb

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2016;volume=7;issue=1;spage=28;epage=28;aulast=BenTaieb

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