CADS (Newly Released) - BrainCT-1mm

License

CC BY 4.0
Creative Commons Attribution 4.0 International License

Citation

Paper BibTeX:

@article{xu2025cads,
  title={CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography},
  author={Xu, Murong and Amiranashvili, Tamaz and Navarro, Fernando and Fritsak, Maksym and Hamamci, Ibrahim Ethem and Shit, Suprosanna and Wittmann, Bastian and Er, Sezgin and Christ, Sebastian M and de la Rosa, Ezequiel and others},
  journal={arXiv preprint arXiv:2507.22953},
  year={2025}
}

Dataset description

This dataset contains 484 anonymized head CT scans from patients aged ≥ 18 years, collected at Istanbul Medipol University, further contributing to the available cranial imaging resources.

All scans were acquired on the Philips iCT 256 scanner at MEDIPOL Radiology, Istanbul, using an identical protocol (“BEYIN YENI/BEYIN”) with:

1 mm slice thickness
Helical acquisition mode
UB kernel
Consistent exposure settings (1.279 ms, 188 mA, 240 mAs)

Patient positioning and image orientation were uniform across all cases.

Number of CT volumes: 484

Contrast: Non-contrast

CT body coverage: Head and neck

Does the dataset include any ground truth annotations?: No

Original GT annotation targets: -

Number of annotated CT volumes: -

Annotator: -

Acquisition centers: Istanbul Medipol University, Istanbul, Turkey

Pathology/Disease: -

Original dataset download link: CADS-dataset HuggingFace repository

Original dataset format: nifti