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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

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