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Diabetic Retinopathy Grading Using 3D Multi-path Convolutional Neural Network Based on Fusing Features from OCTA Scans, Demographic, and Clinical Biomarkers., , , , , , , and . IST, page 1-6. IEEE, (2019)An OCTA Based Diagnosis System Based on a Comprehensive Local Features Analysis for Early Diabetic Retinopathy Detection., , , , , , , , , and . IST, page 1-6. IEEE, (2018)Automatic blood vessels segmentation based on different retinal maps from OCTA scans., , , , , , , and . Comput. Biol. Medicine, (2017)Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network., , , , , , , , and . ICIP, page 1390-1394. IEEE, (2019)Efficient liver segmentation with 3D CNN using computed tomography scans., , , , , and . CoRR, (2022)An Enhanced Indexing And Ranking Technique On The Semantic Web, , and . (2011)cite arxiv:1111.6713Comment: 8 pages, 7 figures.Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion., , , , , , , , , and 1 other author(s). ISBI, page 587-591. IEEE, (2019)Early Diagnosis of Diabetic Retinopathy in OCTA Images Based on Local Analysis of Retinal Blood Vessels and Foveal Avascular Zone., , , , , , , , , and . ICPR, page 3886-3891. IEEE Computer Society, (2018)