This study focuses on gathering a comprehensive dataset of conventional ultrasound images to support the development of advanced training models in medical imaging. With over 3,000 participants, the study aims to create a robust and diverse collection of images representing a wide range of anatomical regions and clinical conditions. The dataset will serve as a foundational resource for improving diagnostic accuracy and enhancing machine learning applications in ultrasound analysis.
- Study Protocol
- Patient Informed Consent Form (ICF)
- Electronic Case Report Form (eCRF)
- Ultrasound Data Collection Manual
- Ultrasound Data Annotation Manual
- Video Demonstration
- For more information contact prof. Eleni Kaldoudi (kaldoudi@athenarc.gr)