High-Quality Mammogram Dataset
Enhance your AI training with over 1,000 high-quality mammograms in DICOM format. Perfect for Computer Vision Healthcare AI applications.
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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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Breast Cancer Detection: Train AI models to analyze mammograms and detect signs of breast cancer, including masses, microcalcifications, and architectural distortions. AI-driven breast cancer detection can assist radiologists in identifying suspicious lesions and improving the sensitivity of screening programs.
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Computer-Aided Diagnosis (CAD): Implement AI-powered computer-aided diagnosis systems that assist radiologists in interpreting mammograms by providing automated annotations, lesion detection, and decision support. CAD systems can help reduce interpretation errors and improve diagnostic accuracy.
Technical Specifications
- Type: Image & Video
- Quantity: 1,000 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.
