Tool
DREAM-RFI: the Diabetic Retinopathy Enhanced, Adapted, and Merged Retinal Fundus Image Dataset
DREAM-RFI Dataset v1.0.0 - Initial Publication Release This release accompanies the paper "A Harmonized Multi-Source Dataset with Baseline Deep Learning Validation for Staging Diabetic Retinopathy" submitted to IJMEMS. Dataset Overview Total Images : 3,461 quality-filtered retinal fundus images Classes : 5-class DR severity (No DR: 1256, Mild NPDR: 493, Moderate NPDR: 779, Severe NPDR: 396, PDR: 537) Source Datasets : IDRiD, Messidor-2, SUSTech-SYSU, APTOS, DeepDRiD-v1.1, Zenodo DR V03 Standard Resolution : 1024×1024×3 pixels Grading Standard : ICDR severity scale (0-4) Repository Contents Complete quality assessment pipeline (10-metric frame
Delu, Mukesh, Harjule, Priyanka, Kumar, Rajesh, Gajjar, Kushal
mit-licenseView resource