Computer-aided diabetic retinopathy diagnostic model using optimal thresholding merged with neural network

PurposeDiabetic retinopathy (DR) is a central root of blindness all over the world. Though DR is tough to diagnose in starting stages, and the detection procedure might be time-consuming even for qualified experts. Nowadays, intelligent disease detection techniques are extremely acceptable for progr...

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Veröffentlicht in:	International journal of intelligent computing and cybernetics 2020-08, Vol.13 (3), p.283-310
Hauptverfasser:	Jadhav, Ambaji S, Patil, Pushpa B, Biradar, Sunil
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive filters Algorithms Blindness Blood vessels Classification Classifiers Datasets Deep learning Diabetes Diabetic retinopathy Diagnosis Diagnostic systems Disease Energy measurement Entropy Equalization Error correction Error reduction Feature extraction Histograms Image classification Image contrast Image segmentation Literature reviews Medical imaging Model accuracy Network computers Neural networks Optimization Texture
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