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Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image
Ali, Aqib; Qadri, Salman; Mashwani, Wali Khan; Kumam, Wiyada; Kumam, Poom; Naeem, Samreen; Sulaiman, Muhammad (Mdpi, 2020)The object of this study was to demonstrate the ability of machine learning (ML) methods for the segmentation and classification of diabetic retinopathy (DR). Two-dimensional (2D) retinal fundus (RF) images were used. The ...
