Contrastive report and multiparametric dual-region magnetic resonance imaging learning for the preoperative prediction of axillary lymph node metastasis in breast cancer
MM-AXLNet, which integrates multiparametric dual-region MRI with report information through dual-region contrastive learning, enables the accurate preoperative prediction of ALNM in breast cancer, facilitating clinical treatment decision-making.
Authors
- Yunsong Peng (ORCID: https://orcid.org/0000-0002-6328-3189)
- Gang Yuan (ORCID: https://orcid.org/0000-0002-7043-925X)
- Wenju Cui (ORCID: https://orcid.org/0000-0002-4304-536X)
- Hanyu Shen
- Xiang Zhang
- Yilin Leng
- Jian Zheng
Institutions
- University of Science and Technology of China (CN)
- Sun Yat-sen University (CN)
- Chinese Academy of Sciences (CN)
- Suzhou Institute of Biomedical Engineering and Technology (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-12-31
- DOI
- https://doi.org/10.21037/qims-2025-1485
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00