High-Quality Ultrasound Dataset
Enhance your AI training with 40,000 high-quality Ultrasound images in DICOM format. Perfect for Computer Vision Healthcare applications.
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Data Type
Leverage this dataset to:
Enhance Clinical Decision Support: Utilize a wide array of diagnostic images for real-time identification and diagnosis, enriching AI models with the capability to support clinicians in making informed decisions.
Advance Medical Research: Leverage the diverse collection of images in their original DICOM format to uncover patterns and support research in medical imaging, contributing to early disease detection and improved health outcomes.
Use Cases
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Disease Detection and Diagnosis: Train AI models to analyze ultrasound images and detect signs of various medical conditions, including abnormalities in organs such as the liver, kidneys, heart, and reproductive organs. AI can assist radiologists and clinicians in making accurate and timely diagnoses.
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Fetal Monitoring and Obstetrics: Develop AI algorithms for monitoring fetal development and assessing maternal health during pregnancy using ultrasound imaging. AI-driven fetal ultrasound analysis can detect fetal anomalies, assess growth parameters, and monitor for signs of complications.
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Medical Education and Training: Create educational tools and simulation environments powered by AI that provide training and guidance to healthcare professionals in interpreting ultrasound images. AI-driven ultrasound simulators offer realistic case scenarios, feedback, and skill development opportunities for medical trainees.
Technical Specifications
- Type: Image & Video
- Quantity: 40,000
- Unit: Images
- Domain: Healthcare
- File Format: DCM (DICOM)
- Demographic Description: pt-BZ
- Metadata/Annotation: Available as an added service
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Ethical Data Collection
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License Information
This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.
