Cargando…
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,...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| 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 |