High-Quality CT Scans Dataset
Enhance your AI training model with over 20,000 high-quality CT scans in original DICOM format. Perfect for Computer Vision Healthcare applications.
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Leverage this dataset to:
Enhance Clinical Decision Support: Utilize a wide array of diagnostic images and detailed annotations 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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Medical Image Segmentation: Radiomics involves extracting a large number of features from medical images using data-characterization algorithms. These features can be used to predict outcomes, understand disease characteristics, and tailor treatments to individual patients.
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Disease Detection and Diagnosis: AI models can be trained to identify and classify diseases such as lung cancer, COVID-19, pneumonia, or other pathologies from CT scans. Deep learning techniques, particularly convolutional neural networks (CNNs), are effective in detecting abnormalities and suggesting potential diagnoses.
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Interactive Learning: Virtual reality (VR) or augmented reality (AR) applications can use the CT dataset to create immersive learning experiences for medical students and professionals.
Technical Specifications
- Type: Image & Video
- Quantity: Over 20,000
- Data Type: Medical Images
- Domain: Healthcare
- File Format: DCM (DICOM)
- 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.