CRC-Former: frequency-domain adaptive swin-transformer for colorectal cancer histopathology classification
Our work demonstrates that explicit integration of signal processing priors with modern sequence modeling offers a powerful paradigm for robust, interpretable, and scalable computational pathology.
Authors
- Chang Li (ORCID: https://orcid.org/0000-0002-3267-1859)
- Lei Chen (ORCID: https://orcid.org/0000-0002-4726-7293)
- Jiandong Tai
- Kun Wang
Institutions
- Jilin University (CN)
- First Hospital of Jilin University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2026-02-24
- DOI
- https://doi.org/10.3389/fphys.2026.1792357
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- People's Government of Jilin Province
- Jilin University
- First Hospital of Jilin University