| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| tags: |
| - medical |
| - ct |
| - chest |
| - lung |
| - airway |
| - segmentation |
| - atm22 |
| - 3d |
| size_categories: |
| - n<1K |
| --- |
| |
| # ATM22 — Airway Tree Modeling Challenge 2022 (re-mirror) |
|
|
| Re-hosted mirror of the **ATM22** challenge training set (Zhang et al., |
| *Medical Image Analysis* 2023, arXiv:2303.05745), originally distributed |
| through the [ATM22 Grand Challenge](https://atm22.grand-challenge.org/). |
| This mirror rebuilds the data from the authors' own |
| [Zenodo re-publication](https://zenodo.org/records/6590745) under |
| CC BY 4.0, restructured into the same layout we use for KiTS23 / KiPA22 / |
| AbdomenCT1K / etc. so a single `Base3DDataset` subclass can load it. |
|
|
| ## Composition |
|
|
| | Split | Cases | With mask | |
| |-------|------:|----------:| |
| | train | 299 | yes | |
|
|
| Original challenge composition: 300 train + 50 val (image-only) + 150 test |
| (withheld). This mirror ships **train only** (300 cases minus 1 for |
| `ATM_164` whose label is misaligned with its corresponding image per |
| challenge errata = 299 usable cases). The val and test sets have no |
| public masks and so cannot be evaluated locally; refetch them from |
| Zenodo `imagesVal.rar` if you want inference-only inputs. |
|
|
| ## File layout |
|
|
| ``` |
| dataset/ATM_001/ |
| imaging.nii.gz |
| segmentation.nii.gz |
| ... |
| dataset/ATM_500/ |
| train.jsonl |
| README.md |
| ``` |
|
|
| `train.jsonl` lists one entry per case with `image`, `mask`, `label`, |
| `modality`, `dataset`, `official_split`, `patient_id` keys. Image/mask |
| paths are prefixed with `data/nii/ATM22/` so they slot directly into |
| the EasyMedSeg `Base3DDataset` `HF_JSONL_PREFIX` convention. |
|
|
| ## Mask labels |
|
|
| Binary airway mask: |
|
|
| | Value | Class | |
| |-------|------------| |
| | 0 | background | |
| | 1 | airway | |
|
|
| The airway annotation includes trachea, main bronchi, lobar bronchi, and |
| segmental bronchi as one composite class (no branch-level subclasses in |
| the public release). |
|
|
| ## License |
|
|
| CC BY 4.0, inherited from the upstream Zenodo mirror. The official |
| challenge organizers' research-only terms apply on top. Cite the |
| benchmark paper: |
|
|
| ```bibtex |
| @article{zhang2023multi, |
| title = {Multi-site, multi-domain airway tree modeling (ATM'22): |
| A public benchmark for pulmonary airway segmentation}, |
| author = {Zhang, Minghui and Wu, Yangqian and Zhang, Hanxiao and others}, |
| journal = {Medical Image Analysis}, |
| year = {2023}, |
| doi = {10.1016/j.media.2023.102957} |
| } |
| ``` |
|
|
