Prediction of intraductal cancer microinfiltration based on the hierarchical fusion of peri-tumor imaging histology and dual view deep learning
The multimodal fusion strategy could potentially mitigate the limitations of unimodal models, presenting a potential solution with promising high accuracy and interpretability for individualized diagnosis and treatment of DCIS.
Authors
- Weikang Huang (ORCID: https://orcid.org/0000-0003-4825-8337)
- Zhongwu Lai (ORCID: https://orcid.org/0000-0002-1506-8222)
- Guoyan Yao
- Jieping Feng
- Min Zheng (ORCID: https://orcid.org/0000-0002-0329-9680)
- Yan Huang (ORCID: https://orcid.org/0000-0002-1789-5088)
- Lijun Chen (ORCID: https://orcid.org/0000-0001-9374-6466)
- Jianye Lu
- Xiaojing Shang
Institutions
- Guangzhou University of Chinese Medicine (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s12885-025-15054-3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangzhou University of Chinese Medicine
- Guangzhou University