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Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier.

, , , , , , and . Medical Biol. Eng. Comput., 53 (12): 1345-1360 (2015)

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Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review., , , , , , , and . Comput. Biol. Medicine, (2015)Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier., , , , , , and . Medical Biol. Eng. Comput., 53 (12): 1345-1360 (2015)Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network., , , , and . CoRR, (2017)EyeEncrypt: A Cyber-Secured Framework for Retinal Image Segmentation., , , and . ATIS, volume 1804 of Communications in Computer and Information Science, page 109-120. Springer, (2022)Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features., , , , , , and . J. Comput. Sci., (2017)Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques., , , , and . Comput. Biol. Medicine, (2019)Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images., , , , , and . Inf. Sci., (2018)Computer-aided diagnosis of glaucoma using fundus images: A review., , , , , , , and . Comput. Methods Programs Biomed., (2018)Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network., , , , , , and . Inf. Sci., (2017)Age-related Macular Degeneration detection using deep convolutional neural network., , , , , , , , , and 2 other author(s). Future Gener. Comput. Syst., (2018)