7 datasets found

Semantic object segmentation is a fundamental task in medical image analysis and has been widely used in automatic delineation of regions of interest in 3D medical images, such...

The NIH pancreas segmentation dataset contains 82 abdominal CT volumes. The width and height of each volume are 512, while the axial view slice number can vary from 181 to 466....

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.

A recent study FairSeg proposes the first fairness dataset for medical segmentation, including 10,000 SLO fundus images from 10,000 patients with pixel-wise disc and cup...

The dataset used in this paper for medical image segmentation, including images from the ISBI-2012 dataset.

The Medical Segmentation Decathlon (MSD) dataset contains 282 CT scans in portal venous phase, all of which are pathological cases with pancreas and tumor annotation.

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