Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

2018108 citationsJournal Articlegold Open Access

Authors

Jon Whitney · Case Western Reserve University

Germán Corredor · Universidad Nacional de Colombia

Andrew Janowczyk · Case Western Reserve University

Shridar Ganesan · Rutgers Cancer Institute of New Jersey

Scott Doyle · University at Buffalo, State University of New York

John Tomaszewski · University at Buffalo, State University of New York

Michael D. Feldman

Abstract

Our results suggest that computerized image analysis of digitized H&E pathology images of early stage ER+ breast cancer might be able predict the corresponding Oncotype DX risk categories.

Topics & Keywords

Breast Cancer Treatment Studies Radiomics and Machine Learning in Medical Imaging AI in cancer detection

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: BMC Cancer

Volume 18, Issue 1, pp. 610-610

DOI: 10.1186/s12885-018-4448-9

Field-Weighted Citation Impact: 2.22