DengPingFan/PraNet
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.
This project helps medical professionals accurately identify and segment polyps in colonoscopy images. It takes an input image from a colonoscopy and outputs a precise mask highlighting the polyp's exact location and boundaries. End-users are medical doctors, gastroenterologists, or researchers working on automated diagnostic tools.
532 stars.
Use this if you need a highly accurate tool for segmenting polyps within medical imaging for diagnostic assistance or research.
Not ideal if you are looking for a general-purpose image segmentation tool outside of medical imaging, or specifically outside of polyp detection.
Stars
532
Forks
130
Language
Python
License
—
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
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