AeroPath

AeroPath is an airway segmentation benchmark dataset with challenging pathology, containing 27 contrast-enhanced CT scans acquired at St. Olavs Hospital, Trondheim, Norway.

Dataset Summary

Field	Details
Modality	Contrast-enhanced CT (CTA)
Body Part	Chest — airways and lungs
Subjects	27
Labels	Airways, Lungs
Total Size	~4.8 GB
License	CC-BY 4.0

Data Structure

Each subject folder contains:

• {N}_CT_HR.nii.gz — CT volume
• {N}_CT_HR_label_airways.nii.gz — airway segmentation mask
• {N}_CT_HR_label_lungs.nii.gz — lung segmentation mask

Citation

@dataset{hofstad2023aeropathzenodo,
  title     = {AeroPath: An airway segmentation benchmark dataset with challenging pathology},
  author    = {Hofstad, Erlend and Bouget, David and Pedersen, André},
  month     = nov,
  year      = 2023,
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.10069289},
  url       = {https://doi.org/10.5281/zenodo.10069289}
}

@article{stoverud2024aeropath,
  title   = {AeroPath: An airway segmentation benchmark dataset with challenging pathology and baseline method},
  author  = {Støverud, Karen-Helene and Bouget, David and Pedersen, André and Langø, Thomas and Hofstad, Erlend Fagertun and others},
  journal = {PLOS ONE},
  volume  = {19},
  number  = {10},
  pages   = {e0311416},
  year    = {2024},
  doi     = {10.1371/journal.pone.0311416}
}