Cargando…
A deep learning-based hybrid artificial intelligence model for the detection and severity assessment of vitiligo lesions
BACKGROUND: We aimed to establish and validate a deep learning-based hybrid artificial intelligence (AI) model for the objective morphometric and colorimetric assessment of vitiligo lesions. METHODS: Two main datasets containing curated images of vitiligo lesions from Chinese patients (Fitzpatrick s...
Autores principales: | Guo, Lifang, Yang, Yin, Ding, Hui, Zheng, Huiying, Yang, Hedan, Xie, Junxiang, Li, Yong, Lin, Tong, Ge, Yiping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201159/ https://www.ncbi.nlm.nih.gov/pubmed/35722422 http://dx.doi.org/10.21037/atm-22-1738 |
Ejemplares similares
-
Automatic identification of benign pigmented skin lesions from clinical images using deep convolutional neural network
por: Ding, Hui, et al.
Publicado: (2022) -
Construction and Evaluation of a Deep Learning Model for Assessing Acne Vulgaris Using Clinical Images
por: Yang, Yin, et al.
Publicado: (2021) -
Artificial intelligence for assessing the severity of microtia via deep convolutional neural networks
por: Wang, Dawei, et al.
Publicado: (2022) -
Artificial intelligence and deep learning in ophthalmology
por: Ting, Daniel Shu Wei, et al.
Publicado: (2019) -
Psoriasis on Lesions of Vitiligo: A Case Report
por: Wang, Lijuan, et al.
Publicado: (2023)