Convolutional neural network models for automatic diagnosis and graduation in skin frostbite

The study aimed to develop and validate a convolutional neural network (CNN)‐based deep learning method for automatic diagnosis and graduation of skin frostbite. A dataset of 71 annotated images was used for the training, the validation, and the testing based on ResNet‐50 model. The performances wer...

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Detalles Bibliográficos
Autores principales: Sun, Jiachen, Fu, Lin, Zhang, Wen, Li, Dongjie, Zhang, Ming, Xu, Zineng, Bai, Hailong, Ding, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031220/
https://www.ncbi.nlm.nih.gov/pubmed/36054618
http://dx.doi.org/10.1111/iwj.13937

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031220/
https://www.ncbi.nlm.nih.gov/pubmed/36054618
http://dx.doi.org/10.1111/iwj.13937

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