Intelligent Diagnosis of Hypopigmented Dermatoses and Intelligent Evaluation of Vitiligo Severity on the Basis of Deep Learning
This study proposes an objective, accurate, and convenient hybrid model for diagnosing HD and evaluating the severity of vitiligo, providing a method for dermatologists especially in grassroots hospitals, and provides a foundation for telemedicine.
Authors
- Fei Yang (ORCID: https://orcid.org/0009-0008-8784-5693)
- Geng Gao (ORCID: https://orcid.org/0009-0007-1966-5124)
- Changqing Wang (ORCID: https://orcid.org/0000-0003-0738-7394)
- Feng‐Li Xiao (ORCID: https://orcid.org/0000-0003-1158-5190)
- Lulu Ren
- Chen Zhu (ORCID: https://orcid.org/0000-0002-3103-8752)
- Mei Li (ORCID: https://orcid.org/0000-0003-2034-0267)
- Maoxin Huang
- Hequn Huang
- Zhuangzhuang Fan
- Rui Wang (ORCID: https://orcid.org/0009-0001-9020-4984)
Institutions
- Anhui University (CN)
- Anhui Medical University (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Dermatology and Therapy
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1007/s13555-024-01296-9
- Citations
- 2
- Primary Topic
- melanin and skin pigmentation
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- National Natural Science Foundation of China
- Anhui Medical University