Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis
The ViT model successfully classified oral epithelial dysplastic tissues with a high accuracy, paving the way for AI to serve as an adjunct or independent tool alongside oral and maxillofacial pathologists for detecting and grading oral epithelial dysplasia.
Authors
- Elahe Tahmasebi (ORCID: https://orcid.org/0000-0003-0717-6044)
- Nazanin Mahdavi (ORCID: https://orcid.org/0000-0002-0691-1580)
- Masoud Arabfard (ORCID: https://orcid.org/0000-0003-3955-613X)
- Mahdi Hadilou (ORCID: https://orcid.org/0000-0001-9018-3450)
- Elham Keykha
- Ali Ghofrani (ORCID: https://orcid.org/0000-0002-2364-3768)
Institutions
- Baqiyatallah University of Medical Sciences (IR)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1186/s12885-025-14193-x
- Citations
- 10
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 24.81
Funders
- Tehran University of Medical Sciences and Health Services