Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model

PURPOSE: To evaluate ways to improve the generalizability of a deep learning algorithm for identifying glaucomatous optic neuropathy (GON) using a limited number of fundus photographs, as well as the key features being used for classification. METHODS: A total of 944 fundus images from Taipei Vetera...

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Detalles Bibliográficos
Autores principales: Ko, Yu-Chieh, Wey, Shih-Yu, Chen, Wei-Ta, Chang, Yu-Fan, Chen, Mei-Ju, Chiou, Shih-Hwa, Liu, Catherine Jui-Ling, Lee, Chen-Yi
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/PMC7224540/
https://www.ncbi.nlm.nih.gov/pubmed/32407355
http://dx.doi.org/10.1371/journal.pone.0233079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224540/
https://www.ncbi.nlm.nih.gov/pubmed/32407355
http://dx.doi.org/10.1371/journal.pone.0233079

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