10 datasets found

SUSTech-SYSU dataset is a collection of images of diabetic retinopathy.

The dataset used for the proposed Concept-Centric Visual Turing Test (VTT) framework for evaluating MIC methods.

MAPLES-DR is a dataset containing new diagnoses for Diabetic Retinopathy (DR) and Macular Edema (ME) as well as new pixel-wise segmentation maps for 10 anatomical and...

The APTOS 2019 blindness detection competition dataset is used for training and testing the proposed Frequency Domain Convolutional Neural Network (FDCNN) architecture.

Retinal fundus images have been extensively used for clinical analysis of various ocular diseases, but the quality of fundus images is critical to the diagnosis and screening of...

The dataset used in the diabetic retinopathy detection task in the conformal risk control framework.

The APTOS-2019 blindness detection dataset is used for detecting diabetic retinopathy severity stages from fundus images.

The Kaggle-DR dataset is used for diabetic retinopathy grading, containing 35,126 high-resolution fundus images.

The EyePACS dataset consists of 35,126 training images and 53,576 testing images only containing grading labels.

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...