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Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer
BACKGROUND: New biomarkers of risk may improve breast cancer (BC) risk prediction. We developed a computational pathology method to segment benign breast disease (BBD) whole slide images into epithelium, fibrous stroma, and fat. We applied our method to the BBD BC nested case-control study within th...
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Published in: | JNCI Cancer Spectr |
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Main Authors: | , , , , , , , , , , , , |
Format: | Artigo |
Language: | Inglês |
Published: |
Oxford University Press
2021
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Subjects: | |
Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7898083/ https://ncbi.nlm.nih.gov/pubmed/33644680 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jncics/pkaa119 |
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