| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| tags: |
| - medical |
| - ct |
| - lung |
| - nodule |
| - luna16 |
| pretty_name: LUNA16 — LUng Nodule Analysis 2016 |
| size_categories: |
| - 100<n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: preview |
| path: data/preview-* |
| dataset_info: |
| features: |
| - name: patient_id |
| dtype: string |
| - name: subset |
| dtype: string |
| - name: num_slices |
| dtype: int32 |
| - name: has_nodule_in_mid_slice |
| dtype: bool |
| - name: image |
| dtype: image |
| - name: lung_mask |
| dtype: image |
| - name: nodule_mask |
| dtype: image |
| - name: overlay |
| dtype: image |
| splits: |
| - name: preview |
| num_bytes: 317991662 |
| num_examples: 888 |
| download_size: 316899869 |
| dataset_size: 317991662 |
| --- |
| |
| # LUNA16 |
|
|
| A mirror of the LUNA16 (LUng Nodule Analysis 2016) challenge data — 888 thoracic |
| LDCT scans derived from LIDC-IDRI — repackaged for use in the EasyMedSeg |
| medical segmentation framework. |
|
|
| ## Contents |
| - `subset0/` … `subset9/` — 888 CT scans in MetaImage format (`.mhd` + `.raw`) |
| - `seg-lungs-LUNA16/` — official lung-field masks (`.mhd` + `.zraw`) |
| - `nodule-masks-spheres/` — derived nodule masks built from `annotations.csv` |
| by drawing a sphere of `diameter_mm` at each nodule centroid. |
| - `annotations.csv` — 1,186 nodule annotations (centroid + diameter) |
| - `candidates.csv`, `candidates_V2.csv` — false-positive-reduction candidates |
| - `sampleSubmission.csv` — challenge submission template |
|
|
| ## Mask sources |
|
|
| LUNA16 ships **only** centroid+diameter annotations for nodules — there are no |
| official voxel-level nodule masks. Two derived mask sources are provided here: |
|
|
| 1. **Lung-field masks** (`seg-lungs-LUNA16/`) — official, paired 1:1 with all |
| 888 scans. Per the original release: *"provided to aid nodule detection; |
| NOT intended as the reference standard for any segmentation study."* |
| 2. **Nodule sphere masks** (`nodule-masks-spheres/`) — generated by the |
| uploader from `annotations.csv`: for each scan, a binary uint8 volume with |
| a sphere of `diameter_mm` placed at each nodule centroid. Use as an |
| approximate target for nodule segmentation; not a true voxel-level GT. |
|
|
| ## Source |
| - Zenodo Part 1: https://zenodo.org/records/3723295 (subsets 0–6, masks, annotations) |
| - Zenodo Part 2: https://zenodo.org/records/4121926 (subsets 7–9) |
| - Challenge homepage: https://luna16.grand-challenge.org/ |
|
|
| ## License |
| CC BY 4.0 — same as the original Zenodo release. |
|
|
| ## Citation |
| > Setio, A.A.A., Traverso, A., de Bel, T., Berens, M.S.N., et al. (2017). |
| > **Validation, comparison, and combination of algorithms for automatic detection |
| > of pulmonary nodules in computed tomography images: The LUNA16 challenge.** |
| > *Medical Image Analysis* 42: 1–13. |
| > doi:10.1016/j.media.2017.06.015 |
|
|
