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Annotated CT scan medical imaging datasets used to train AI models for healthcare diagnostics and medical image analysis.
The project involved identifying and labeling anatomical regions within CT scan images using bounding boxes and segmentation techniques to support machine learning model training.
Key tasks included:
• Medical image annotation and region labeling
• Bounding box annotation for anatomical structures
• Dataset preparation for AI model training
• Quality control and annotation validation
This work supports the development of AI systems used in healthcare diagnostics, medical imaging analysis, and clinical decision support systems.
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