---
license: cc-by-nc-sa-4.0
zea_repo_id: zeahub/camus
task_categories:
  - image-segmentation
tags:
  - ultrasound
  - echocardiography
  - 2d
  - cardiac
  - medical
pretty_name: "CAMUS: Cardiac Acquisitions for Multi-structure Ultrasound Segmentation"
size_categories:
  - 1K<n<10K
---

# CAMUS - 2-D Echocardiographic Ultrasound Dataset

This dataset is a **zea-format** (HDF5) conversion of the
[CAMUS](https://humanheart-project.creatis.insa-lyon.fr/database/#collection/6373703d73e9f0047faa1bc8)
dataset for multi-structure segmentation in 2-D echocardiography.

| Property | Value |
|---|---|
| **Modality** | 2-D transthoracic echocardiography |
| **Patients** | 500 |
| **Views** | 2-chamber (2CH) and 4-chamber (4CH) apical |
| **Splits** | train (1-400), val (401-450), test (451-500) |

## Conversion

This dataset was downloaded, converted to zea format, and uploaded using the
[zea](https://github.com/tue-bmd/zea) data converter:

```bash
zea convert camus <src> <dst> --download
```

## Dataset structure

```
train/
  patient0001/
    patient0001_2CH_half_sequence.hdf5
    patient0001_4CH_half_sequence.hdf5
  ...
val/
  patient0401/ ...
test/
  patient0451/ ...
```

Each HDF5 file follows the [zea data format](https://github.com/tue-bmd/zea) and contains:

- `data/image/values` — scan-converted B-mode sequence in dB, shape
  `(n_frames, H, W)`, float32; x=0 at apex centre
- `data/image/coordinates` — per-pixel Cartesian positions in metres,
  shape `(H, W, 3)` [x, y=0, z]
- `data/image_polar/values` — polar-resampled B-mode sequence,
  shape `(n_frames, n_r, n_theta)`, float32
- `data/image_polar/coordinates` — Cartesian [x, 0, z] positions of polar
  pixels in metres, shape `(n_r, n_theta, 3)`
- `data/segmentation/values` — multi-label bool segmentation, shape `(n_frames, H, W, 4)`
- `data/segmentation/labels` — `["unannotated", "LV_endo", "LV_myo", "LA"]`;
  unannotated frames have only the first channel set
- `data/segmentation/coordinates` — same grid as `image/coordinates`
- `metadata/subject` — patient ID, sex, age
- `metadata/credit` — full citation string
- `metadata/text_report` — ejection fraction, frame rate, image quality
- `metadata/annotations/view` — `"2CH"` or `"4CH"` repeated for all frames
- `metadata/annotations/label` — `"ED"` / `"ES"` for the corresponding frames, `""` otherwise
- `metadata/annotations/image_quality` — `"Good"` / `"Medium"` / `"Poor"`

## License

CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode)

The CAMUS dataset is available free of charge strictly for **non-commercial
scientific research purposes only**.

## Citation

If you use this dataset, please cite:

```bibtex
@article{leclerc2019deep,
  title   = {Deep Learning for Segmentation Using an Open Large-Scale Dataset in
             2D Echocardiography},
  author  = {Leclerc, Sarah and Smistad, Erik and Pedrosa, Joao and Ostvik, Andreas and
             Cervenansky, Frederic and Espinosa, Florian and Espeland, Torvald and
             Berg, Erik Andreas Rye and Jodoin, Pierre-Marc and Grenier, Thomas and
             Lartizien, Carole and D'hooge, Jan and Lovstakken, Lasse and
             Bernard, Olivier},
  journal = {IEEE Transactions on Medical Imaging},
  volume  = {38},
  number  = {9},
  pages   = {2198--2210},
  year    = {2019},
  doi     = {10.1109/TMI.2019.2900516}
}
```

## Links

- **Original dataset**: <https://humanheart-project.creatis.insa-lyon.fr/database/#collection/6373703d73e9f0047faa1bc8>
- **zea toolkit**: <https://github.com/tue-bmd/zea>