Predictive model of Ki67 expression level in osteosarcoma based on weakly supervised segmentation and multi-type feature fusion
Our model provides an automated and reliable solution for osteosarcoma Ki67 assessment, reducing dependence on traditional immunohistochemistry. Its excellent performance indicates strong potential for clinical translation.
Authors
- Jun Xue (ORCID: https://orcid.org/0000-0002-1888-0208)
- Qun Ma (ORCID: https://orcid.org/0000-0003-0527-8696)
- Qi Wang (ORCID: https://orcid.org/0000-0002-5339-5427)
- Tian Shang (ORCID: https://orcid.org/0000-0002-5916-0020)
- Xiuyan Li (ORCID: https://orcid.org/0000-0002-6847-163X)
- Aidong Liu (ORCID: https://orcid.org/0000-0002-9025-7111)
- Xiaoxuan Jing
- Siqi Ben
Institutions
- Tianjin University (CN)
- Tiangong University (CN)
- Tianjin Hospital (CN)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1016/j.cmpb.2025.109098
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 0.00