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...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :JNCI Cancer Spectr
Главные авторы: Vellal, Adithya D, Sirinukunwattan, Korsuk, Kensler, Kevin H, Baker, Gabrielle M, Stancu, Andreea L, Pyle, Michael E, Collins, Laura C, Schnitt, Stuart J, Connolly, James L, Veta, Mitko, Eliassen, A Heather, Tamimi, Rulla M, Heng, Yujing J
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2021
Предметы:
Article
Online-ссылка: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
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы