Clinical Study A – Ultrasound Data Collection
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.
US-DICOMizer
US-DICOMizer is an advanced application designed for anonymizing ultrasound diagnostic DICOM images. This tool ensures compliance with data privacy regulations by securely removing patient-identifiable information from DICOM files, making them suitable for research, sharing, and analysis.
Ultrasound Dataset #1 – Compression Ultrasound Videos
The dataset consists of compression ultrasound video scannings of lower limbs collected during a multi-center cohort study in European Hospitals (Greece, France, Italy and Lithuania [https://clinicaltrials.gov/study/NCT06989255]). Patients suspected of DVT are scanned using conventional ultrasound machines, after they had given an informed consent form, according to a dedicated scanning protocol.