| --- |
| license: odc-by |
| task_categories: |
| - image-segmentation |
| tags: |
| - medical |
| - ct |
| - lung |
| - covid |
| - long-covid |
| - segmentation |
| pretty_name: LongCIU |
| dataset_info: |
| features: |
| - name: slice_index |
| dtype: int32 |
| - name: split |
| dtype: string |
| - name: image |
| dtype: image |
| - name: mask_staple |
| dtype: image |
| - name: overlay_staple |
| dtype: image |
| - name: mask_annotator1 |
| dtype: image |
| - name: mask_annotator2 |
| dtype: image |
| - name: mask_annotator3 |
| dtype: image |
| - name: ggo_pixels_staple |
| dtype: int32 |
| - name: consolidation_pixels_staple |
| dtype: int32 |
| splits: |
| - name: train |
| num_bytes: 11546931 |
| num_examples: 30 |
| - name: val |
| num_bytes: 7131799 |
| num_examples: 20 |
| - name: test |
| num_bytes: 15555193 |
| num_examples: 40 |
| download_size: 34305458 |
| dataset_size: 34233923 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: val |
| path: data/val-* |
| - split: test |
| path: data/test-* |
| --- |
| |
| # Long COVID Iowa-UNICAMP (LongCIU) |
|
|
| Long COVID Iowa-UNICAMP dataset: 90 axial chest CT slices with manual |
| segmentation of ground glass opacities (GGO) and parenchymal consolidations, |
| independently annotated by three expert annotator pairs. Provides both the |
| three individual annotations and a STAPLE consensus recommended as ground |
| truth. |
|
|
| ## Overview |
| - **Modality:** CT (axial) |
| - **Body part:** Lung (GGO / consolidation in Long COVID patients) |
| - **Samples:** 90 axial CT slices (stacked along axis 2 of a single NIfTI volume) |
| - **Classes:** 0 = background, 1 = GGO, 2 = consolidation |
|
|
| ## Files |
| | File | Description | |
| |---|---| |
| | `longciu_img.nii.gz` | Image volume `(512, 512, 90)` — each slice is an independent patient | |
| | `longciu_STAPLE_tgt.nii.gz` | **Recommended ground truth** (STAPLE consensus of the 3 annotators) | |
| | `longciu_1_tgt.nii.gz` | Annotator pair 1 mask (for inter-rater study) | |
| | `longciu_2_tgt.nii.gz` | Annotator pair 2 mask (for inter-rater study) | |
| | `longciu_3_tgt.nii.gz` | Annotator pair 3 mask (for inter-rater study) | |
| | `longciu_medpseg_output.nii.gz` | MedPSeg baseline model prediction (for comparison) | |
| | `longciu_splits.json` | Train / val / test split indices over slice axis | |
| | `staple_pub_stats.json` | STAPLE statistics published with the paper | |
| | `README.txt` | Original dataset README from the authors | |
|
|
| ## Splits (indices into slice axis of `longciu_img.nii.gz`) |
| - **train:** 30 slices |
| - **val:** 20 slices |
| - **test:** 40 slices |
| |
| ## License |
| Open Data Commons Attribution License (ODC-By) v1.0. |
| |
| ## Citation |
| Carmo, D. S., Pezzulo, A. A, Villacreses, P. A., Comellas A. P., Eisenbeisz, M. L., |
| Anderson, R. L., Van Dorin, S. E., Rittner, L., Lotufo, R. A., Gerard, S. E., |
| Reinhardt, J. M., Comellas, A. P. (2024). Long COVID Iowa-UNICAMP [dataset]. |
| University of Iowa. https://doi.org/10.25820/data.007301 |
| |
| Paper (Scientific Data, Nature, 2025): |
| https://www.nature.com/articles/s41597-025-04709-2 |
| |
| Source code: https://github.com/MICLab-Unicamp/LongCIU |
| |
