11 datasets found

A public diabetic retinopathy dataset containing 5,590 images with image-level grading labels.

A public diabetic retinopathy dataset containing 88,702 images with image-level grading labels.

The IDRiD dataset consists of 516 fundus images and ground truths associated with the signs of Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME).

APTOS2019 is a dataset of 3,662 fundus images for diabetic retinopathy classification.

Diffusion Probabilistic Models have recently shown remarkable performance in generative image modeling, attracting significant attention in the computer vision community....

The EyePACS dataset is a collection of retinal fundus images of individuals potentially suffering from diabetic retinopathy (DR), an eye disease associated with diabetes that is...

The dataset used in this paper for retinal diseases classification, including diabetic retinopathy (DR) and age-related macular degeneration (AMD).

The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.

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

The HRF dataset contains 45 images, which is divided into 15/15/15 images for healthy patients, patients with diabetic retinopathy and glaucomatous patients.

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...