EFFNet: A skin cancer classification model based on feature fusion and random forests

Computer-aided diagnosis techniques based on deep learning in skin cancer classification have disadvantages such as unbalanced datasets, redundant information in the extracted features and ignored interactions of partial features among different convolutional layers. In order to overcome these disad...

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Detalles Bibliográficos
Autores principales: Ma, Xiaopu, Shan, Jiangdan, Ning, Fei, Li, Wentao, Li, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593232/
https://www.ncbi.nlm.nih.gov/pubmed/37871038
http://dx.doi.org/10.1371/journal.pone.0293266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593232/
https://www.ncbi.nlm.nih.gov/pubmed/37871038
http://dx.doi.org/10.1371/journal.pone.0293266

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