Enhancing dermatological diagnosis for differentiating actinic from seborrheic keratosis using deep learning model
The DL model significantly improves dermatologists' accuracy in differentiating AK from SK, especially for less experienced ones. The DL model has the potential to reduce diagnostic subjectivity, aid early detection of precancerous lesions, and transform dermatological diagnostic and therapeutic practices.
Authors
- Yang Gao (ORCID: https://orcid.org/0000-0001-9328-1611)
- Lihong Mei
- Xiangdong Liu (ORCID: https://orcid.org/0000-0002-9816-688X)
- Ying-Ying Ren
- Zhe Quan
Institutions
- Jinshan Hospital of Fudan University (CN)
- Pudong Medical Center (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-02
- DOI
- https://doi.org/10.3389/fmed.2025.1654813
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00