Advanced deep learning for multi-class colorectal cancer histopathology: integrating transfer learning and ensemble methods
The proposed ensemble models obtained good classification performance on the EBHI dataset of histopathological images for colorectal cancer. The findings of this study may contribute to the early detection and accurate classification of colorectal cancer, thereby aiding in more precise diagnostic analysis of colorectal cancer.
Authors
- Yan Chai Hum (ORCID: https://orcid.org/0000-0002-9657-8311)
- Wun‐She Yap (ORCID: https://orcid.org/0000-0002-0007-6174)
- Yee Kai Tee (ORCID: https://orcid.org/0000-0002-0263-6358)
- YuJian Gan
- Hua Zheng (ORCID: https://orcid.org/0000-0003-2090-1239)
- Qi Ke
Institutions
- Guangxi University of Finance and Economics (CN)
- University College London (GB)
- Universiti Tunku Abdul Rahman (MY)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-03-01
- DOI
- https://doi.org/10.21037/qims-24-1641
- Citations
- 6
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 14.89