Data

This dataset consists of a type B Aortic Dissection (AD) CTA collection with true and false lumen expert annotations. It can be used for the development of AI-based algorithms for an automatic segmentation of ADs.

3D-COSI ~ 3D Collection of Surgical Instruments.

In this repository, we present a brain tumor database collection comprising 23,049 samples, with each sample including four different types of MRI brain scans: FLAIR, T1, T1ce, and T2.

Prior to the deep learning era, the wide application of statistical shape model (SSM) in the medical domain is evidence that shapes are commom in medical imaging. Inspired by the well-known ShapeNet and Princeton ModelNet in the field of computer graphics (CG) and vision (CV), the goal of MedShapeNet is to promote the translation of methods developed in the context of CG/CV to clinical applications.

Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants.

The multicenter datasets include 56 CTA scans from mostly healthy aortas, covering the aortic arch and its branches and the abdominal aortas with the iliac arteries. Furthermore, we include segmentations (masks) of the aortas and its branches (aortic vessel trees) as binary mask images.

Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks.