High-Quality Nuclear Medicine Scintigraphy Exams Dataset
High-quality medical scans for AI training, with over 6,000 nuclear medicine scintigraphy exams in original DICOM format. Ideal for Computer Vision Healthcare AI development.
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Amount
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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
- Medical Image Segmentation: Utilize the dataset to train AI models for segmenting different structures and organs within nuclear medicine scans. This can aid in precise localization and analysis of abnormalities such as tumors or lesions.
- Disease Detection and Diagnosis: Train AI algorithms to analyze nuclear medicine scans and detect signs of diseases or medical conditions. This could include identifying areas of increased or decreased radiotracer uptake indicative of various pathologies.
- Treatment Response Assessment: Develop AI models to track changes in nuclear medicine scans over time to assess the effectiveness of treatments, such as chemotherapy or radiation therapy. This can help clinicians make informed decisions about patient care and treatment plans.
Technical Specifications
- Type: Image & Video
- Quantity: 6,000
- Unit: Images
- Domain: Healthcare
- File Format: DCM (DICOM)
- Demographic Description: pt-BR
- Metadata/Annotation: Available as an added service
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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.
