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A large-scale multi-center, multi-organ ultrasound dataset with gaze annotations

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📊 Mgaze-US: Multi-center Gaze Ultrasound Dataset

Mgaze-US is a large-scale multi-center, multi-organ ultrasound dataset with gaze annotations.
It is designed to support research on gaze-driven human–robot interaction, visual prompting, medical image segmentation, and robotic ultrasound systems (RUSS).
This dataset has been curated and preprocessed to remove scanner-specific artifacts and metadata, enabling broad usability across domains.


📂 Dataset Overview

  • Total Images: 15,649
  • Centers: 8 countries 🌍 across 5 continents
  • Modalities: Standard B-mode ultrasound
  • Annotations:
    • ✅ Manual segmentation labels Y
    • 👁️ Gaze fixation positions
    • 🔥 Gaze heatmaps

🏥 Anatomical Coverage

The dataset spans a wide variety of anatomical structures to encourage cross-organ generalization:

  • Thyroid — Colombia
  • Breast — Egypt, Brazil
  • Liver — China
  • Kidney — Canada
  • Muscle — Netherlands
  • Carotid Artery — Poland
  • Brachial Plexus — Unknown
image

⚙️ Preprocessing

  • All ultrasound images were preprocessed using EchoLocator to ensure removal of scanner-specific artifacts and metadata.
  • Images are aligned and normalized for cross-domain comparison.

📢 Note on Data Availability

Due to size limitations on GitHub, we only provide partial subsets of Mgaze-US, including Kidney, Thyroid, and Liver. For access to the complete dataset, please visit our release on HuggingFace Datasets: 👉 HAN4BME/MGaze-US

For any questions, you can reach me at [[email protected]].

📑 Citation

If you use Mgaze-US in your research, please acknowledge this dataset. The associated paper has been submitted to ICRA 2026 and should be cited once it is accepted.

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