Published June 21, 2023 | Version 0.1.0
Dataset Open

Seg-CQ500

Creators

  • 1. CHUV | Lausanne university hospital, Lausanne, Switzerland
  • 2. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm
  • 3. Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden
  • 4. Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden

Description

Intracranial hemorrhages segmentation labels for 51 CT-scans from the CQ500 dataset (http://headctstudy.qure.ai/dataset).

Two trained radiologists from the Karolinska Instituted in Stockholm, labeled 51 scans to provide 3D mask of intracranial hemorrhages.

We hope our new labels will promote the comparability of hemorrhage segmentation algorithm in the future and help push the field forward.

If you use those labels, please cite our paper in Frontiers in Neuroimaging:

```

Spahr A, Ståhle J, Wang C and Kaijser M (2023)
Label-efficient deep semantic segmentation of
intracranial hemorrhages in CT-scans.
Front. Neuroimaging 2:1157565.
doi: 10.3389/fnimg.2023.1157565

```

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Additional details

Related works

Is cited by
Journal article: 10.3389/fnimg.2023.1157565 (DOI)

References

  • Spahr A et al. (2023) Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans. Front. Neuroimaging 2:1157565. doi: 10.3389/fnimg.2023.1157565