Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).

2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Frontiers in Intelligent Colonoscopy [ColonSurvey | ColonINST | ColonGPT]

1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'25, MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

TGANet: Text-guided attention for improved polyp segmentation [Early Accepted & Student Travel Award at MICCAI 2022]

Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)

[MICCAI 2024 Oral] SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

A multi-centre polyp detection and segmentation dataset for generalisability assessment https://www.nature.com/articles/s41597-023-01981-y

PraNet-V2: Upgrading PraNet from binary (V1) to multi-class (V2) segmentation . Support both Jittor & PyTorch DL frameworks.

TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation

Liver segmentation using Deep Learning on LiTS 2017 Dataset

Colonoscopy polyps detection with CNNs

Project COLON-X (Shaping the neXt frontier in intelligent COLONoscopy)

GitHub repository for the Kvasir-instrument dataset

Kvasir-SEG: A Segmented Polyp Dataset

GitHub repository for Medico automatic polyp segmentation challenge

Polyp segmentation tool utilizing U-Net for accurate medical image analysis, designed to enhance early detection and diagnosis of colorectal cancer. Features a user-friendly Streamlit web app for easy image processing and analysis, leveraging the Kvasir-SEG dataset for improved healthcare outcomes.

Temporal Segmentation of Full-Procedure Colonoscopy Videos

This is a repository for the project Detection of Polyps in Colonoscopy. We implement the pipeline for detecting and segmenting the polyps from the capsule endoscopy video feed.

[MICCAI 2025 Early Accept] Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation (IEEE EMBC)

Code and data for the paper "Towards Polyp Counting in Full-Procedure Colonoscopy Videos" accepted at ISBI'25 (oral) 🌟

This repository offers an implementation of the UNet model tailored for semantic segmentation tasks, focusing on detecting polyps in colonoscopy images. It includes comprehensive training scripts, a configurable UNet architecture with an encoder such as ResNet, and a user-friendly inference script.

Polyp recognition and segmentation for colonoscopy images using UNet++ model.

colonoscopy polyps segmentation using resunet

Official repo of "EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)"

[RAL] ColonAdapter: Geometry Estimation Through Foundation Model Adaptation for Colonoscopy

MICCAI 2019 Grand Challenge for Pathology - Digestive-System Pathological Segmentation Challenge