A multimodal data-based model for breast cancer diagnosis
To enhance accessibility and practical application, we developed a web-based breast cancer pathological staging diagnosis system to visualize and deploy the FESCA model, demonstrating a step toward clinical application and providing a benchmark for other research methods.
Authors
- Huina Wang (ORCID: https://orcid.org/0000-0001-9798-0145)
- Lan Wei (ORCID: https://orcid.org/0000-0003-3802-3243)
- Juan Fang
- Catherine Mooney
- Bo Liu
- Jianqiang Li
Institutions
- University College Dublin (IE)
- Beijing University of Technology (CN)
- Massey University (NZ)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1016/j.cmpb.2026.109288
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00