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Datasets/DRIVE

DRIVE

Digital Retinal Images for Vessel Extraction

ImagesMedicalCC-BY-4.0Introduced 2004-01-01

The Digital Retinal Images for Vessel Extraction (DRIVE) dataset is a dataset for retinal vessel segmentation. It consists of a total of JPEG 40 color fundus images; including 7 abnormal pathology cases. The images were obtained from a diabetic retinopathy screening program in the Netherlands. The images were acquired using Canon CR5 non-mydriatic 3CCD camera with FOV equals to 45 degrees. Each image resolution is 584*565 pixels with eight bits per color channel (3 channels).

The set of 40 images was equally divided into 20 images for the training set and 20 images for the testing set. Inside both sets, for each image, there is circular field of view (FOV) mask of diameter that is approximately 540 pixels. Inside training set, for each image, one manual segmentation by an ophthalmological expert has been applied. Inside testing set, for each image, two manual segmentations have been applied by two different observers, where the first observer segmentation is accepted as the ground-truth for performance evaluation.

Source: Ant Colony based Feature Selection Heuristics for Retinal Vessel Segmentation Image Source: https://drive.grand-challenge.org/

Benchmarks

Medical Image Segmentation/mIoUMedical Image Segmentation/F1 scoreMedical Image Segmentation/RecallMedical Image Segmentation/SpecificityMedical Image Segmentation/PrecisionMedical Image Segmentation/AUCMedical Image Segmentation/AccuracyMedical Image Segmentation/sensitivityMedical Image Segmentation/MCCMedical Image Segmentation/1:1 AccuracyMedical Image Segmentation/Average IOUMedical Image Segmentation/DSCRetinal Vessel Segmentation/AUCRetinal Vessel Segmentation/F1 scoreRetinal Vessel Segmentation/AccuracyRetinal Vessel Segmentation/mIoURetinal Vessel Segmentation/sensitivityRetinal Vessel Segmentation/SpecificityRetinal Vessel Segmentation/MCCRetinal Vessel Segmentation/1:1 AccuracyRetinal Vessel Segmentation/Average IOURetinal Vessel Segmentation/DSC

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Statistics

Papers
311
Benchmarks
22

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Tasks

Medical Image SegmentationRetinal Vessel Segmentation