Learning from small data: Classifying sex from retinal images via deep learning

Deep learning (DL) techniques have seen tremendous interest in medical imaging, particularly in the use of convolutional neural networks (CNNs) for the development of automated diagnostic tools. The facility of its non-invasive acquisition makes retinal fundus imaging particularly amenable to such a...

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Detalles Bibliográficos
Autores principales: Berk, Aaron, Ozturan, Gulcenur, Delavari, Parsa, Maberley, David, Yılmaz, Özgür, Oruc, Ipek
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/PMC10399793/
https://www.ncbi.nlm.nih.gov/pubmed/37535591
http://dx.doi.org/10.1371/journal.pone.0289211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399793/
https://www.ncbi.nlm.nih.gov/pubmed/37535591
http://dx.doi.org/10.1371/journal.pone.0289211

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