The International Arab Journal of Information Technology (IAJIT)

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization

Retina Disorders Classification via OCT Scan: A Comparative Study between Self-Supervised Learning and Transfer Learning

Saeed Shurrab,Yazan Shannak,Rehab Duwairi

#OCT images #retina disorders #self-supervised learning #transfer learning #resnet34

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Abdullah Aljumah and Mohammad Siddiqui

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Detection of Neovascularization in Proliferative Diabetic Retinopathy Fundus Images

Abstract: Neovascularization is a serious visual consequence disease arising from Proliferative Diabetic Retinopathy (PDR).

#Diabetic retinopathy # neovascularization # fuzzy C-means clustering # compactness classifier # feature extraction # neural network

An Effective Sample Preparation Method for Diabetes Prediction

Abstract: Diabetes is a chronic disorder caused by metabolic malfunction in carbohydrate metabolism and it has become a

#Diabetes # clustering # classification # K-means # SVM # sample preparation

An Optimized and Efficient Radial Basis Neural Network using Cluster Validity Index for Diabetes

Classification

#Radial basis function networks # classification # medical diagnosis # diabetes # optimal number of clusters # genetic algorithm

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