4 datasets found

Tags: medical image analysis

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  • 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.

  • STARE

    Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

  • CHASE_DB1

    The CHASE_DB1 dataset is a publicly available dataset for retinal vessel segmentation.

  • SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation

    The proposed SA-UNet is evaluated on two publicly available retinal fundus image datasets: DRIVE and CHASE_DB1.