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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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| Pubblicato in: | Transl Vis Sci Technol |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The Association for Research in Vision and Ophthalmology
2020
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| Soggetti: | |
| Accesso online: | 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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