RazvanDu/DUCK-Net
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
This project helps medical professionals, specifically those performing colonoscopies, to accurately identify and outline polyps in endoscopic images. It takes raw colonoscopy images and outputs precisely segmented images where polyps are clearly highlighted. This tool is designed for gastroenterologists, endoscopy technicians, and researchers involved in colon cancer screening and early detection.
127 stars. No commits in the last 6 months.
Use this if you need a highly accurate and reliable method to automatically segment polyps from colonoscopy images for diagnosis or research purposes.
Not ideal if you are working with non-medical images or require segmentation for other organs or pathologies.
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Nov 27, 2023
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