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Diabetic retinopathy diagnosis in retinal images using hopfield neural network
The main objective of this work is to develop an artificial neural network (ANN) for automated
detection of diabetic retinopathy (DR) in retinal images. Three hundred and thirty images …
detection of diabetic retinopathy (DR) in retinal images. Three hundred and thirty images …
Diabetic Retinopathy Lesion Detection Through Synergistic Analysis of Independent Components and Uncorrelated Discriminant Features
S Ameerjohn, M Manimaran… - … on Electronics and …, 2024 - ieeexplore.ieee.org
The growing incidence of blindness, specifically linked to diabetic retinopathy (DR),
highlights the need for expandable retina screening programs. The purpose of this work is to …
highlights the need for expandable retina screening programs. The purpose of this work is to …
[PDF][PDF] Machine Learning based Retinal Therapeutic for Glaucoma
Glaucoma is a corpus of visual malady exemplified by the scheduled optic nerve
neuropathy; means to the increasing dwindling in vision ground, resulting in loss of sight. In …
neuropathy; means to the increasing dwindling in vision ground, resulting in loss of sight. In …