Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia

Since the results of basic and specific classification in male androgenetic alopecia are subjective, and trichoscopic data, such as hair density and diameter distribution, are potential quantitative indicators, the aim of this study was to develop a deep learning framework for automatic trichoscopic...

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Detalles Bibliográficos
Autores principales: GAO, Meng, WANG, Yue, XU, Haipeng, XU, Congcong, YANG, Xianhong, NIE, Jin, ZHANG, Ziye, LI, Zhixuan, HOU, Wei, JIANG, Yiqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Publication of Acta Dermato-Venereologica 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631273/
https://www.ncbi.nlm.nih.gov/pubmed/34935989
http://dx.doi.org/10.2340/actadv.v101.564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631273/
https://www.ncbi.nlm.nih.gov/pubmed/34935989
http://dx.doi.org/10.2340/actadv.v101.564

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