Predicting molecular subtype in breast cancer using deep learning on mammography images
The DenseNet121-CBAM model demonstrates promising capability in predicting breast cancer molecular subtypes from mammography, offering a non-invasive alternative to biopsy.
Authors
- Yunzhao Luo
- Chuang Zhu (ORCID: https://orcid.org/0000-0001-5155-7069)
- Yang Gu (ORCID: https://orcid.org/0000-0001-8572-2907)
- Wei Jing (ORCID: https://orcid.org/0000-0002-0573-2783)
- Feng Xu (ORCID: https://orcid.org/0000-0002-4467-2787)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3389/fonc.2025.1638212
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 4.96