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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
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 |
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