# Segmentation of the Liver 2007 (SLIVER07) ## License Customized license: The following rules apply to those who register a team, download data and submit results: The original data sets and associated segmentation data downloaded here, or any data derived from these data sets, will not be given nor distributed under any circumstances to persons not belonging to the registered team. The data on this site is to be used exclusively for the purpose of developing segmentation algorithms of the liver. Use of the data for any other purposes requires explicit permission from the maintainers of this site, listed at the bottom of this page. Commercial use of segmentation algorithms that use the supplied data (test or training cases) as training material is forbidden. In scientific publications (journal publications, conference papers, technical reports, presentations at conferences and meetings) that use the data from this website, you must cite the following paper: ## Citation Paper BibTeX: ```bibtex @article{heimann2009comparison, title={Comparison and evaluation of methods for liver segmentation from CT datasets}, author={Heimann, Tobias and Van Ginneken, Bram and Styner, Martin A and Arzhaeva, Yulia and Aurich, Volker and Bauer, Christian and Beck, Andreas and Becker, Christoph and Beichel, Reinhard and Bekes, Gy{\"o}rgy and others}, journal={IEEE transactions on medical imaging}, volume={28}, number={8}, pages={1251--1265}, year={2009}, publisher={IEEE} } ``` ## Dataset description SLIVER07 is a benchmark challenge to evaluate liver segmentation methods on contrast-enhanced CT scans during the central venous phase. It originated from the MICCAI 2007 Grand Challenge, where 16 teams (10 automatic, 6 interactive) evaluated their methods on a shared dataset. Algorithms included statistical shape models, atlas registration, level-sets, graph-cuts, and rule-based systems. **Challenge homepage**: https://sliver07.grand-challenge.org/ **Number of CT volumes**: 30 **Contrast**: Contrast-enhanced (central venous phase) **CT body coverage**: Chest **Does the dataset include any ground truth annotations?**: Yes **Original GT annotation targets**: Liver and internal structures (e.g., vessels) **Number of annotated CT volumes**: 20 **Annotator**: Human **Acquisition centers**: Multiple clinical partners **Pathology/Disease**: Various liver pathologies, including tumors, metastases, and cysts **Original dataset download link**: https://zenodo.org/records/2597908 **Original dataset format**: .mhd / .raw ## Note In accordance with the license, CADS does **not** redistribute SLIVER07 images. Please download the original images directly from the provided Zenodo link above.