DR-Grading: Fundus Diabetic-Retinopathy Grading with Africa-Grounded Synthetic Context

Domaine:

healthcare

Type de record:

dataset

Créateur:

mac

Hôte:

A dataset for cross-sectional 5-class diabetic-retinopathy grading, pairing resized colour fundus photographs with minimal, epidemiology-grounded synthetic point-of-care context (age, sex, diabetes duration). Version 1.0.0 · core dr_synth 1.0.0 · part of the DR-Africa dataset family (see also dr-progression and dr-africa-benchmark). Abstract

DR-Progression: Multimodal 5-Year Diabetic-Retinopathy Risk with Africa-Grounded Synthetic EHR

A multimodal dataset for predicting 5-year diabetic-retinopathy progression and risk from a fundus i

IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

International audience

Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks

We propose an automatic diabetic retinopathy (DR) analysis algorithm based on two-stages deep convol

M'Sila retinal fundus dataset for diabetic retinopathy

A private clinical dataset of 600 retinal fundus images collected at an ophthalmology clini

Ultra-Widefield Fundus Imaging for Diabetic Retinopathy

Diabetic retinopathy (DR), a common and specific complication of diabetes mellitus, is one

M'Sila retinal fundus dataset for diabetic retinopathy classification

A private clinical dataset of 1335 retinal fundus images collected at an ophthalmology clin

DR-Grading: Fundus Diabetic-Retinopathy Grading with Africa-Grounded Synthetic Context

Domaine:

Type de record:

Visit

Tasks

Tags