Published December 20, 2023 | Version v2
Dataset Open

Test Dataset for 3D semantic image segmentation of the various organs from CT and MR scans

Authors/Creators

  • 1. BAMF Health

Contributors

  • 1. BAMF Health

Description

These test cases are for the nnUnet v1 models trained on the following datasets:

Dataset  Task Model Details on Zenodo
 TotalSegmentator and FLARE21 datasets Segment Liver from CT scans https://zenodo.org/record/8274976
KiTS23 datasets and a subset of the TCGA-KIRC dataset Segment Kidney, Cyst, and Tumors from CT Scans https://zenodo.org/records/8277846
AMOS and DUKE Liver datasets Segment Liver from the MR scans https://zenodo.org/record/8290124
Data from m pi-cai Segment Prostate region from MR scans https://zenodo.org/record/8290093

Files

bamf_test_dataset.zip

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Additional details

References

  • Murugesan, G. K., McCrumb, D., Soni, R., & Van Oss, J. (2023). Pretrained model for 3D semantic image segmentation of the kidney from CT scans (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.8277846