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SUSTech-SYSU dataset for Automated Exudate Detection and Diabetic Retinopathy...
SUSTech-SYSU dataset is a collection of images of diabetic retinopathy. -
Indian Diabetic Retinopathy Image Dataset (IDRiD)
The dataset used for the proposed Concept-Centric Visual Turing Test (VTT) framework for evaluating MIC methods. -
Kaggle-APTOS2019
A public diabetic retinopathy dataset containing 5,590 images with image-level grading labels. -
Kaggle-EyePACS
A public diabetic retinopathy dataset containing 88,702 images with image-level grading labels. -
APTOS 2019 blindness detection competition dataset
The APTOS 2019 blindness detection competition dataset is used for training and testing the proposed Frequency Domain Convolutional Neural Network (FDCNN) architecture. -
IDRiD dataset
The IDRiD dataset consists of 516 fundus images and ground truths associated with the signs of Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME). -
Diabetic Retinopathy Detection
The dataset used in the diabetic retinopathy detection task in the conformal risk control framework. -
APTOS-2019 Blindness Detection Dataset
The APTOS-2019 blindness detection dataset is used for detecting diabetic retinopathy severity stages from fundus images. -
Isfahan MISP dataset
The Isfahan MISP dataset, consisting of retinography and angiography images of diabetic patients. -
Diabetic Retinopathy Dataset
The dataset used in this paper is not explicitly described. However, it is mentioned that the authors used a dataset for medical image classification, specifically for diabetic...
