Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX

Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX

In this paper, we attempt to quantify the prognostic information embedded in multi-parametric histologic biopsy images to predict disease aggressiveness in estrogen receptor-positive (ER+) breast cancers (BCa). The novel methodological contribution is in the use of a multi-field-of-view (multi-FOV)...

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Bibliographic Details
Main Authors: Ajay Basavanhally, Michael Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Shridar Ganesan, Anant Madabhushi
Format: Article
Language:English
Published: Elsevier 2011-01-01
Series:Journal of Pathology Informatics
Subjects:
Image-based risk score
breast cancer
estrogen receptor positive
computerized prognosis
outcome prediction
multi-variate histology
H and E
CD34 immunohistochemistry
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2011;volume=2;issue=2;spage=1;epage=1;aulast=Basavanhally

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2011;volume=2;issue=2;spage=1;epage=1;aulast=Basavanhally

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