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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424907/
https://www.ncbi.nlm.nih.gov/pubmed/32855845
http://dx.doi.org/10.1167/tvst.9.2.41

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424907/
https://www.ncbi.nlm.nih.gov/pubmed/32855845
http://dx.doi.org/10.1167/tvst.9.2.41

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