Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study

BACKGROUND: The diagnostic performance of convolutional neural networks (CNNs) for diagnosing several types of skin neoplasms has been demonstrated as comparable with that of dermatologists using clinical photography. However, the generalizability should be demonstrated using a large-scale external...

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Detalles Bibliográficos
Autores principales: Han, Seung Seog, Moon, Ik Jun, Kim, Seong Hwan, Na, Jung-Im, Kim, Myoung Shin, Park, Gyeong Hun, Park, Ilwoo, Kim, Keewon, Lim, Woohyung, Lee, Ju Hee, Chang, Sung Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688128/
https://www.ncbi.nlm.nih.gov/pubmed/33237903
http://dx.doi.org/10.1371/journal.pmed.1003381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688128/
https://www.ncbi.nlm.nih.gov/pubmed/33237903
http://dx.doi.org/10.1371/journal.pmed.1003381

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