8 datasets found

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.

The dataset used for prostate cross-site segmentation

The HRF dataset contains 45 images, which is divided into 15/15/15 images for healthy patients, patients with diabetic retinopathy and glaucomatous patients.

Two benchmark datasets for blood vessel segmentation in retinal images

The dataset in this paper comes from the database of the Ultrasound Imaging Department of Peking University Shenzhen Hospital.

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

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

The CAMUS dataset includes 450 annotated patient sub-datasets consisting of TTE apical four- and two-chamber views.