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Datasets/HRF

HRF

High-Resolution Fundus

ImagesMedicalCC BY 4.0Introduced 2013-01-01

The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. Each subset contains one healthy fundus image, one image of patient with diabetic retinopathy and one glaucoma image. The image sizes are 3,304 x 2,336, with a training/testing image split of 22/23.

Source: Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation Image Source: https://www.researchgate.net/figure/Examples-of-fundus-images-from-HRF-database-with-corresponding-hand-labelled-gold_fig1_260625531

Benchmarks

Classification/AccuracyMedical Image Segmentation/AUCMedical Image Segmentation/F1 scoreMedical Image Segmentation/MCCMedical Image Segmentation/mIoUMedical Image Segmentation/1:1 AccuracyMedical Image Segmentation/AccMedical Image Segmentation/Average IOUMedical Image Segmentation/DSCMedical Image Segmentation/SensitivityMedical Image Segmentation/AccuracyRetinal Vessel Segmentation/AUCRetinal Vessel Segmentation/F1 scoreRetinal Vessel Segmentation/MCCRetinal Vessel Segmentation/mIoURetinal Vessel Segmentation/1:1 AccuracyRetinal Vessel Segmentation/AccRetinal Vessel Segmentation/Average IOURetinal Vessel Segmentation/DSCRetinal Vessel Segmentation/SensitivityRetinal Vessel Segmentation/Accuracy

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Papers
53
Benchmarks
21

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Tasks

Artery/Veins Retinal Vessel SegmentationClassificationMedical Image SegmentationRetinal Vessel Segmentation