SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions

SIMPLE SUMMARY: Skin cancer is a major concern worldwide, and accurately identifying it is crucial for effective treatment. we propose a modified deep learning model called SBXception, based on the Xception network, to improve skin cancer classification. Using the HAM10000 dataset, consisting of 10,...

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Detalles Bibliográficos
Autores principales: Mehmood, Abid, Gulzar, Yonis, Ilyas, Qazi Mudassar, Jabbari, Abdoh, Ahmad, Muneer, Iqbal, Sajid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377736/
https://www.ncbi.nlm.nih.gov/pubmed/37509267
http://dx.doi.org/10.3390/cancers15143604

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377736/
https://www.ncbi.nlm.nih.gov/pubmed/37509267
http://dx.doi.org/10.3390/cancers15143604

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