11 datasets found

Formats: JSON Tags: diabetic retinopathy

Filter Results

  • 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.

  • 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).

  • APTOS2019

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

  • DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

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

  • EyePACS dataset

    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...

  • DR and AMD fundus image classification

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

  • DRIVE

    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.

  • Diabetic Retinopathy Detection

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

  • HRF

    The HRF dataset contains 45 images, which is divided into 15/15/15 images for healthy patients, patients with diabetic retinopathy and glaucomatous 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...
You can also access this registry using the API (see API Docs).