Development and internal validation of a mammography-based model fusing clinical, radiomics, and deep learning models for sentinel lymph node metastasis prediction in breast cancer
The proposed post-fusion model Clinical+Rad+DL demonstrated the method of probabilities fusion was effective and showed promise for predicting SLN metastasis in breast cancer.
Authors
- Bo Gao (ORCID: https://orcid.org/0000-0001-5864-0690)
- Zhongxing Shi
- Mingming Zhao (ORCID: https://orcid.org/0000-0001-5513-1305)
- Siwei Cao (ORCID: https://orcid.org/0000-0002-1017-9556)
- Ye Ruan
- Yang Wang (ORCID: https://orcid.org/0000-0001-8639-4677)
- Yun Jin (ORCID: https://orcid.org/0000-0001-7750-1370)
- Xing‐Yuan Liu
Institutions
- Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-09-09
- DOI
- https://doi.org/10.3389/fmed.2025.1659422
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China