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PatchChestCT: A patch-level spatial annotation dataset for nine abnormalities in chest CT

PatchChestCT provides newly created binary 3D patch-level annotations for nine abnormality categories in 2,201 non-contrast chest CT studies selected from the public CT-RATE cohort (Hamamci et al., Nature Biomedical Engineering, 2026). Each annotation is stored as a binary NumPy array (.np

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CreatorLi, Yingtai
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Published2026-04-23
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DOI10.5281/zenodo.19707049
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Downloads166
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Licensecc-by-4.0
File Size3.6 MB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views638
Total Downloads166

PatchChestCT provides newly created binary 3D patch-level annotations for nine abnormality categories in 2,201 non-contrast chest CT studies selected from the public CT-RATE cohort (Hamamci et al., Nature Biomedical Engineering, 2026).

Each annotation is stored as a binary NumPy array (.npz) with shape (24, 12, 12), corresponding to the 3D patch grid of the preprocessed CT volume.

Annotated abnormalities:
  Arterial wall calcification · Coronary artery calcification · Pericardial effusion ·  Hiatal hernia · Lymphadenopathy · Atelectasis · Lung opacity · Consolidation · Bronchiectasis

IMPORTANT — This deposit contains PatchChestCT patch-level annotation files and the minimal CT-RATE volume identifiers required to link each annotation to its source volume. It does not include CT-RATE images, radiology reports, DICOM headers or subject-level clinical metadata. Source CT-RATE volumes must be obtained separately from the official CT-RATE repository and used under its Data Usage Agreement: https://huggingface.co/datasets/ibrahimhamamci/CT-RATE

Each subdirectory is named using the corresponding CT-RATE volume identifier (e.g., train_1003_a_1/) solely to enable unambiguous alignment with source volumes obtained separately by the user.

For alignment code and full usage instructions, see the companion code repository:  https://github.com/SadVoxel/PatchChestCT

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PatchChestCT: A patch-level spatial annotation dataset for nine… (Full Dataset)3.6 MB
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Files are hosted on the source repository. Click download to access the full dataset.

Li, Yingtai (2026). PatchChestCT: A patch-level spatial annotation dataset for nine abnormalities in chest CT. https://doi.org/10.5281/zenodo.19707049