Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy

PURPOSE: To improve disease severity classification from fundus images using a hybrid architecture with symptom awareness for diabetic retinopathy (DR). METHODS: We used 26,699 fundus images of 17,834 diabetic patients from three Taiwanese hospitals collected in 2007 to 2018 for DR severity classifi...

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Detalhes bibliográficos
Publicado no:Transl Vis Sci Technol
Main Authors: Tseng, Vincent S., Chen, Ching-Long, Liang, Chang-Min, Tai, Ming-Cheng, Liu, Jung-Tzu, Wu, Po-Yi, Deng, Ming-Shan, Lee, Ya-Wen, Huang, Teng-Yi, Chen, Yi-Hao
Formato: Artigo
Idioma:Inglês
Publicado em: The Association for Research in Vision and Ophthalmology 2020
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Special Issue
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7424907/
https://ncbi.nlm.nih.gov/pubmed/32855845
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.2.41
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