TotalSegmentator MRI dataset: 298 MRI images with segmentations for 56 anatomical regions

In 298 MR images we segmented 56 anatomical structures covering a majority of relevant classes for most use cases. The MR 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. Moreover, it contains some images from IDC for further data diversity (see column "source" in meta.csv).

Link to a copy of this dataset on Dropbox for much quicker download: Dropbox Link

You can find a segmentation model trained on this dataset here.

More details about the dataset can be found in the corresponding paper. Please cite this paper if you use the dataset. The CT images described in the paper can be found here.

The following classes from the paper are not part of this dataset:  subcutaneous_fat, torso_fat, skeletal_muscle, face_region

This dataset was created by the department of Research and Analysis at University Hospital Basel.