Vidhi1290/Medical-Image-Segmentation-Deep-Learning-Project
Our project uses state-of-the-art deep learning techniques to tackle a vital medical task: polyp segmentation from colonoscopy images. We harness the Unet++ architecture and a robust tech stack to precisely detect and isolate polyps, advancing healthcare diagnostics and patient care. 🏥💡
This tool helps medical practitioners automatically identify and outline polyps within colonoscopy images. You provide it with images from colonoscopy videos, and it outputs corresponding images with precisely marked polyp boundaries. This is designed for gastroenterologists, endoscopists, and other medical professionals involved in colonoscopy procedures and diagnostics.
No commits in the last 6 months.
Use this if you need an automated and highly accurate way to detect and segment polyps in colonoscopy images for diagnostic support or research.
Not ideal if you are looking for a general image analysis tool or if your primary need is not focused on medical image segmentation, specifically for polyps.
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Sep 24, 2023
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