Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine

The variation in skin textures and injuries, as well as the detection and classification of skin cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a difficult and time-consuming process. Recent advancements in the domains of the internet of things (IoT) and artif...

Descripción completa

Detalles Bibliográficos
Autores principales: Afza, Farhat, Sharif, Muhammad, Khan, Muhammad Attique, Tariq, Usman, Yong, Hwan-Seung, Cha, Jaehyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838278/
https://www.ncbi.nlm.nih.gov/pubmed/35161553
http://dx.doi.org/10.3390/s22030799

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838278/
https://www.ncbi.nlm.nih.gov/pubmed/35161553
http://dx.doi.org/10.3390/s22030799

Ejemplares similares