Deep Learning-Based Automated Detection of Oral Leukoplakia in Clinical Imaging
This deep learning system demonstrates expert-level diagnostic capability for oral leukoplakia identification, showing potential for integration into clinical decision support systems. The model's high diagnostic accuracy and interpretability through activation mapping address critical needs in early oral cancer detection and screening programs.
Authors
- Jun Sun (ORCID: https://orcid.org/0000-0003-3509-2112)
- Duo Li (ORCID: https://orcid.org/0000-0001-8278-8011)
- Jingwen Liu (ORCID: https://orcid.org/0000-0002-2879-1559)
- Xiangjian Wang (ORCID: https://orcid.org/0000-0002-0256-9642)
Institutions
- Chongqing University (CN)
- Stomatological Hospital of Chongqing Medical University (CN)
- Ningbo University Affiliated Hospital (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Cureus
- Published
- 2025-05-02
- DOI
- https://doi.org/10.7759/cureus.83368
- Primary Topic
- Oral Health Pathology and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ningbo University