Development and accuracy of an artificial intelligence algorithm for acne grading from smartphone photographs

We developed an artificial intelligence algorithm (AIA) for smartphones to determine the severity of facial acne using the GEA scale and to identify different types of acne lesion (comedonal, inflammatory) and postinflammatory hyperpigmentation (PIHP) or residual hyperpigmentation. Overall, 5972 ima...

Descripción completa

Detalles Bibliográficos
Autores principales: Seité, Sophie, Khammari, Amir, Benzaquen, Michael, Moyal, Dominique, Dréno, Brigitte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972662/
https://www.ncbi.nlm.nih.gov/pubmed/31446631
http://dx.doi.org/10.1111/exd.14022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972662/
https://www.ncbi.nlm.nih.gov/pubmed/31446631
http://dx.doi.org/10.1111/exd.14022

Ejemplares similares