DebeshJha/ColonSegNet
Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
This project offers a real-time solution for analyzing colonoscopy videos. It takes raw colonoscopy images or video frames and precisely identifies, locates, and outlines polyps, producing segmented images that highlight the exact boundaries of each polyp. This tool is designed for medical researchers, clinicians, or developers integrating advanced image analysis into endoscopic systems.
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Use this if you need a lightweight, fast, and accurate system for segmenting polyps in colonoscopy images to support medical diagnosis or research.
Not ideal if you need an end-to-end system that automatically detects bounding boxes without first generating segmentation masks, or if you are not comfortable with command-line execution.
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Language
Python
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Last pushed
Oct 17, 2023
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