GewelsJI/VPS
Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"
This project offers tools to help medical researchers and clinicians automatically identify polyps in colonoscopy videos. It takes raw colonoscopy video footage as input and outputs precise, per-frame segmentation masks highlighting polyps. This is invaluable for researchers developing AI systems to assist in colonoscopy diagnosis and for clinicians seeking advanced decision support.
214 stars.
Use this if you are a medical researcher or clinician working on automated polyp detection and require a robust dataset, baseline model, and evaluation tools for video colonoscopy analysis.
Not ideal if you need a general-purpose image or video segmentation tool for non-medical applications or are looking for a commercial-ready diagnostic product.
Stars
214
Forks
33
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
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