PraNet

DengPingFan/PraNet is ranked 17,051 among these 8 peers; vietnh1009/Flappy-bird-deep-Q-learning-pytorch is ranked 17,048.

PraNet: Parallel Reverse Attention Network for Polyp Segmentation (MICCAI2020-Oral & MICCAI2025 Young Scientist Publication Impact Award) **Authors:** Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao. 💥 We’re excited to introduce **PraNet-V2**, bringing semantic segmentation capabilities! PraNet-V2 introduces the **Dual-Supervised Reverse Attention (DSRA)** module, enabling explicit background supervision, independent background modeling, and semantically enriched attention fusion. We have found that PraNet-V2 outperforms PraNet-V1 in **polyp segmentation** and

**improves existing SOTA segmentation multi-class models through DSRA integration**. 📖 Read the paper | 🔗 Check out the code :boom: We’re excited to introduce “IntelliScope Project,” which offers a deep dive into the latest advancements in intelligent colonoscopy (📖 **ColonSurvey**). We’re also pushing for three key initiatives to embrace the multimodal era in colonoscopy: a pioneering large-scale instruction tuning dataset (🏥 **ColonINST**), a colonoscopy-specific multimodal language model (🤖 **ColonGPT**), and a **multimdoal benchmark** 💯 for comparing different approaches. We are in the

MICCAI2024 Young Scientist Publication Impact Award Shortlist We receive the award of Jittor Developer Conference Distinguish Paper & Most Influential (Application) Paper 1. Preface This repository provides code for "_**PraNet: Parallel Reverse Attention Network for Polyp Segmentation**_" MICCAI-2020. And if you are using PraNet or evaluation toolbox for your research, please cite this paper (BibTeX). :fire: NEWS :fire: [2025/03/20] 🚀 **PraNet-V2 is here! ** 🚀 We have introduced **PraNet-V2**, an enhanced version of PRaNet with **Dual-Supervised Reverse Attention

(DSRA)** for more effective **multi-class** segmentation. Check out the paper and code here: PraNet-V2 [2022/11/26] Our PraNet has been developed on Huawei Ascend platform, where the project could be found at Gitee and CSDN introduction. [2022/03/27] :boom: We release a new large-scale dataset on **Video Polyp Segmentation (VPS)** task, please enjoy it. It has robust inference efficiency compared to PyTorch version, please enjoy it. Many thanks to Yu-Cheng Chou for the excellent

conversion from pytorch framework. [2021/09/05] The Tensorflow (Keras) implementation of PraNet (ResNet50/MobileNetV2 version) is released in github-link. [2021/08/18] Improved version (PraNet-V2) has been released: [2021/04/23] We update the results on four Camouflaged Object Detection (COD) testing dataset (i. , COD10K, NC4K, CAMO, and CHAMELEON) of our PraNet, which is the retained on COD dataset from scratch. Download links at google drive are avaliable here: result, model weight, evaluation results. [2021/01/21

] :boom: Our PraNet has been used as the base segmentation model of Prof. Jordan et al's recent work (Distribution-Free, Risk-Controlling Prediction Sets, Journal of the ACM 2021). [2021/01/10] :boom: Our PraNet achieved the Top-1 ranking on the camouflaged object detection task (link). [2020/09/18] Upload the pre-computed maps. [2020/05/28] Upload pre-trained weights. [2020/06/24] Release training/testing code. Table of Contents PraNet: Parallel Reverse Attention Network for Polyp Segmentation

(MICCAI2020-Oral) 1. License Table of contents generated with markdown-toc 1. "Selective feature aggregation network with area-boundary constraints