TotalSegmentator CT Dataset V2
Jakob Wasserthal and Hanns-Christian Breit and Manfred T. Meyer and Martin Segeroth

@article{,
title= {TotalSegmentator CT Dataset V2},
doi= {10.1148/ryai.230024},
year= {2023},
keywords= {computed tomography, segmentation, segment},
author= {Jakob Wasserthal and Hanns-Christian Breit and Manfred T. Meyer and Maurice Pradella and Daniel Hinck and Alexander W. Sauter and Tobias Heye and Daniel Boll and Joshy Cyriac and Shan Yang and Michael Bach and Martin Segeroth},
abstract= {Info: This is version 2 of the TotalSegmentator dataset.

In 1228 CT images we segmented 117 anatomical structures covering a majority of relevant classes for most use cases. The CT images were randomly sampled from clinical routine, thus representing a real world dataset which generalizes to clinical application. The dataset contains a wide range of different pathologies, scanners, sequences and institutions.

https://zenodo.org/record/8367088

**Reference:** Wasserthal et al., TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiology: Artificial Intelligence 2023. https://doi.org/10.1148/ryai.230024 (arXiv: https://arxiv.org/abs/2208.05868)},
terms= {},
license= {https://creativecommons.org/licenses/by/4.0/},
superseded= {},
url= {https://github.com/wasserth/TotalSegmentator}
}