Developing a weakly supervised deep learning framework for breast cancer diagnosis with HR status based on mammography images

Developing a weakly supervised deep learning framework for breast cancer diagnosis with HR status based on mammography images

The status of hormone receptors (HR) at the molecular level is crucial for accurate diagnosis and effective treatment of breast cancer. Meanwhile, mammography is an effective screening method for detecting breast cancer, which significantly improve survival. However, diagnosing the molecular status...

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Bibliographic Details
Main Authors: Mengyan Zhang, Cong Wang, Li Cai, Jiyun Zhao, Ye Xu, Jiacheng Xing, Jianghong Sun, Yan Zhang
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Mammography images
Weakly supervision
Deep learning
HR status
Breast cancer diagnosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023002878

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http://www.sciencedirect.com/science/article/pii/S2001037023002878

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