Implementation of artificial intelligence and non-contact infrared thermography for prediction and personalized automatic identification of different stages of cellulite

BACKGROUND: Cellulite is a common physiological condition of dermis, epidermis, and subcutaneous tissues experienced by 85 to 98% of the post-pubertal females in developed countries. Infrared (IR) thermography combined with artificial intelligence (AI)-based automated image processing can detect bot...

Descripción completa

Detalles Bibliográficos
Autores principales: Bauer, Joanna, Hoq, Md Nazmul, Mulcahy, John, Tofail, Syed A. M., Gulshan, Fahmida, Silien, Christophe, Podbielska, Halina, Akbar, Md. Mostofa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028894/
https://www.ncbi.nlm.nih.gov/pubmed/32140183
http://dx.doi.org/10.1007/s13167-020-00199-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028894/
https://www.ncbi.nlm.nih.gov/pubmed/32140183
http://dx.doi.org/10.1007/s13167-020-00199-x

Ejemplares similares