Fusion feature-based hybrid methods for diagnosing oral squamous cell carcinoma in histopathological images
By combining CrossViT with expert features, diagnostic accuracy for OSCC was significantly enhanced, thereby validating the potential of hybrid artificial intelligence models in clinical pathology. Future research will expand the dataset and explore the model's interpretability to facilitate its practical application in clinical settings.
Authors
- Jiaxing Li (ORCID: https://orcid.org/0000-0002-7683-2482)
Institutions
- Shenzhen Bao'an District People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-04-08
- DOI
- https://doi.org/10.3389/fonc.2025.1551876
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.44