Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation

We aimed to develop an accurate and efficient skin cancer classification system using deep-learning technology with a relatively small dataset of clinical images. We proposed a novel skin cancer classification method, SkinFLNet, which utilizes model fusion and lifelong learning technologies. The Ski...

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Detalles Bibliográficos
Autores principales: Juan, Chao-Kuei, Su, Yu-Hao, Wu, Chen-Yi, Yang, Chi-Shun, Hsu, Chung-Hao, Hung, Che-Lun, Chen, Yi-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564722/
https://www.ncbi.nlm.nih.gov/pubmed/37816815
http://dx.doi.org/10.1038/s41598-023-42693-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564722/
https://www.ncbi.nlm.nih.gov/pubmed/37816815
http://dx.doi.org/10.1038/s41598-023-42693-y

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