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Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Béatrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec

2023Lecture notes in computer science18 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceArtificial intelligenceOptical coherence tomographyFundus photographyModalitiesDiabetic retinopathyImage fusionComputer visionPattern recognition (psychology)Fluorescein angiographyMedicineRadiologyImage (mathematics)Diabetes mellitusOphthalmologyVisual acuitySocial scienceSociologyEndocrinologyRetinal Imaging and AnalysisRetinal Diseases and TreatmentsRetinal and Optic Conditions
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images | Litcius