Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models

One of the most promising research initiatives in the healthcare field is focused on the rising incidence of skin cancer worldwide and improving early discovery methods for the disease. The most significant factor in the fatalities caused by skin cancer is the late identification of the disease. The...

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Detalles Bibliográficos
Autores principales: Ogundokun, Roseline Oluwaseun, Li, Aiman, Babatunde, Ronke Seyi, Umezuruike, Chinecherem, Sadiku, Peter O., Abdulahi, AbdulRahman Tosho, Babatunde, Akinbowale Nathaniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451641/
https://www.ncbi.nlm.nih.gov/pubmed/37627864
http://dx.doi.org/10.3390/bioengineering10080979

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451641/
https://www.ncbi.nlm.nih.gov/pubmed/37627864
http://dx.doi.org/10.3390/bioengineering10080979

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