Optimal Skin Cancer Detection Model Using Transfer Learning and Dynamic-Opposite Hunger Games Search

Recently, pre-trained deep learning (DL) models have been employed to tackle and enhance the performance on many tasks such as skin cancer detection instead of training models from scratch. However, the existing systems are unable to attain substantial levels of accuracy. Therefore, we propose, in t...

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Detalles Bibliográficos
Autores principales: Dahou, Abdelghani, Aseeri, Ahmad O., Mabrouk, Alhassan, Ibrahim, Rehab Ali, Al-Betar, Mohammed Azmi, Elaziz, Mohamed Abd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178333/
https://www.ncbi.nlm.nih.gov/pubmed/37174970
http://dx.doi.org/10.3390/diagnostics13091579

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178333/
https://www.ncbi.nlm.nih.gov/pubmed/37174970
http://dx.doi.org/10.3390/diagnostics13091579

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