Ranking-Aware Multiple Instance Learning for Histopathology Slide Classification: Development and Validation Study
Incorporating expert annotations through ranking-based supervision improves MIL-based classification. Rank induction remains robust even with limited, coarse, or sparsely available annotations, demonstrating its practicality in real-world scenarios.
Authors
- Ho Heon Kim (ORCID: https://orcid.org/0000-0001-7260-7504)
- Won Chan Jeong (ORCID: https://orcid.org/0009-0008-1931-5957)
- Young Sin Ko (ORCID: https://orcid.org/0000-0003-1319-4847)
- Gisu Hwang (ORCID: https://orcid.org/0000-0003-1046-9286)
Institutions
- Seoul Medical Center (KR)
- Catholic University of Korea (KR)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2026-01-02
- DOI
- https://doi.org/10.2196/84417
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00