Reducing unnecessary biopsies of BI-RADS 4 lesions based on a deep learning model for mammography

Reducing unnecessary biopsies of BI-RADS 4 lesions based on a deep learning model for mammography

ObjectiveIn this study, we aimed to explore the diagnostic value of a deep learning (DL) model based on mammography for Breast Imaging Reporting and Data System (BI-RADS) 4 lesions and to reduce unnecessary breast biopsies.MethodsWe retrospectively collected clinical and imaging data of 557 BI-RADS...

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Bibliographic Details
Main Authors: Yuting Yang, Tingting Liao, Xiaohui Lin, Rushan Ouyang, Zhenjie Cao, Jingtao Hu, Jie Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
mammography
artificial intelligence
deep learning
breast cancer
BI-RADS 4 lesions
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1543553/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1543553/full

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