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https://github.com/timkong21/polyp-segmentation

Polyp segmentation tool utilizing U-Net for accurate medical image analysis, designed to enhance early detection and diagnosis of colorectal cancer. Features a user-friendly Streamlit web app for easy image processing and analysis, leveraging the Kvasir-SEG dataset for improved healthcare outcomes.
https://github.com/timkong21/polyp-segmentation

aws-s3 cancer-detection colonoscopy computer-vision data-augmentation data-science deep-learning diagnostics healthcare machine-learning medical-application medical-image-analysis medical-image-processing medical-image-segmentation opencv polyp-segmentation python streamlit tensorflow u-net

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Polyp segmentation tool utilizing U-Net for accurate medical image analysis, designed to enhance early detection and diagnosis of colorectal cancer. Features a user-friendly Streamlit web app for easy image processing and analysis, leveraging the Kvasir-SEG dataset for improved healthcare outcomes.

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