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README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+  - medical-imaging
+  - echocardiography
+  - 3d-ultrasound
+  - cardiac
+  - segmentation
+task_categories:
+  - image-segmentation
+pretty_name: "CETUS - 3D Echocardiography"
+size_categories:
+  - n<1K
+---
+
+# CETUS — Cardiac Echo Training and Ultrasound Segmentation
+
+## Description
+
+The CETUS dataset contains **45 patients** of real 3D echocardiography volumes
+acquired at two cardiac phases:
+
+- **End-Diastole (ED)** — `patientXX_ED.nii.gz`
+- **End-Systole (ES)** — `patientXX_ES.nii.gz`
+
+Ground-truth left-ventricular segmentation masks are provided as
+`patientXX_ED_gt.nii.gz` and `patientXX_ES_gt.nii.gz`.
+
+## File Structure
+
+```
+dataset/
+  patient01/
+    patient01_ED.nii.gz
+    patient01_ED_gt.nii.gz
+    patient01_ES.nii.gz
+    patient01_ES_gt.nii.gz
+  patient02/
+    ...
+  ...
+  patient45/
+    ...
+  LICENSE_TERMS.md
+  MANDATORY_CITATION.md
+jupyter/
+  script_cetus.ipynb
+  LICENSE_TERMS.md
+  MANDATORY_CITATION.md
+Resources.zip
+```
+
+## Format
+
+- **Volume format**: NIfTI (`.nii.gz`)
+- **Typical shape**: varies per patient (see metadata in NIfTI headers)
+
+## Usage
+
+```python
+import SimpleITK as sitk
+
+img = sitk.ReadImage("dataset/patient01/patient01_ED.nii.gz")
+volume = sitk.GetArrayFromImage(img)  # shape: (Z, Y, X)
+print(f"Shape: {volume.shape}, dtype: {volume.dtype}")
+```
+
+## Source
+
+Original dataset page: <https://www.creatis.insa-lyon.fr/Challenge/CETUS/databases.html>
+
+## License
+
+CC BY-NC-SA 4.0 — free for **non-commercial scientific research** only.
+
+## Mandatory Citation
+
+> O. Bernard, et al.
+> "Standardized Evaluation System for Left Ventricular Segmentation
+> Algorithms in 3D Echocardiography"
+> in *IEEE Transactions on Medical Imaging*, vol. 35, no. 4, pp. 967–977,
+> April 2016.
+> <https://doi.org/10.1109/tmi.2015.2503890>