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Awesome-Polyp-Segmentation

Will collect polyp segmentastion models.


Awesome List for Polyp Segmentation

Badge License: MIT

This awesome list is under construction. If you have anything to recommend or any suggestions, please feel free to contact us via e-mail (taozhou.ai@gmail) or directly push a PR.

< Last updated: 25/06/2024 >

1. Content

2. Paper List

2.1. Datasets & Benchmarks

2.1.1. Image-level polyp segmentation

Dataset Name Year Publication Links
ETIS-LaribPolypDB 2014 IJCARS Paper
CVC-ColonDB 2015 TMI Paper
CVC-ClinicDB 2015 CMIG Paper
Kvasir 2017 ACM Paper
CVC-300 2017 JHE Paper
CVC-EndoSceneStill 2017 JHE Paper
Kvasir-SEG 2020 MMM Paper
PICCOLO 2020 AS Paper
PolypGen 2021 SCI DATA Paper

2.1.2. Video-level polyp segmentation

Dataset Name Year Publication Links
ASU-Mayo Clinic Colonoscopy Video 2016 TMI Paper
CVC-ClinicVideoDB 2017 CMIG Paper
LDPolypVideo 2021 MICCAI Paper
Kvasir-capsule 2021 Sci Data Paper
SUN-SEG 2022 MIR Paper

2.2. Polyp Segmentation

2.2.1. YEAR 2024

Year Model Publication Title Links
2024 EffiSegNet Arxiv EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
Ioannis A. Vezakis; Konstantinos Georgas; Dimitrios Fotiadis; George K. Matsopoulos
Paper/Code
2024 MBDA-Net BSPC MBDA-Net: Multi-source boundary-aware prototype alignment domain adaptation for polyp segmentation
Jiawei Yan; Hongqing Zhu; Tong Hou; Ning Chen; Weiping Lu; Ying Wang; Bingcang Huang
Paper/Code
2024 PCMT ESWA A novel Parallel Cooperative Mean-Teacher framework (PCMT) combined with prediction uncertainty guide and class contrastive learning for semi-supervised polyp segmentation
Yang Xia; Haijiao Yun; Peiyu Liu; Mingjing Li
Paper/Code
2024 dHBLSN KBS dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation
Debapriya Banik; Kaushiki Roy; Ondrej Krejcar; Debotosh Bhattacharjee
Paper/Code
2024 DHAFormer PONE DHAFormer: Dual-channel hybrid attention network with transformer for polyp segmentation
Xuejie Huang; Liejun Wang; Shaochen Jiang; Lianghui Xu
Paper/Code
2024 LGRNet Arxiv LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
Huihui Xu; Yijun Yang; Angelica I Aviles-Rivero; Guang Yang; Jing Qin; Lei Zhu
Paper/Code
2024 PGCF BSPC Progressive Group Convolution Fusion network for colon polyp segmentation
Zexuan Ji; Hao Qian; Xiao Ma
Paper/Code
2024 ControlPolypNet CVPR ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation
Vanshali Sharma; Abhishek Kumar; Debesh Jha; M.K. Bhuyan; Pradip K. Das; Ulas Bagci
Paper/Code
2024 unnamed BMEL Cross-domain additive learning of new knowledge rather than replacement
Jiahao Liu; Ge Jiao
Paper/Code
2024 PP-SAM Arxiv PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
Mostafijur Rahman, Md ; Munir, Mustafa ; Jha, Debesh ; Bagci, Ulas ; Marculescu, Radu
Paper/Code
2024 PFMNet CMIG PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation
Runze Wang; Guoyan Zheng
Paper/Code
2024 LightCF-Net Bioengineering LightCF-Net: A Lightweight Long-Range Context Fusion Network for Real-Time Polyp Segmentation
Zhanlin Ji;Xiaoyu Li; Jianuo Liu; Rui Chen; Qinping Liao; Tao Lyu; Li Zhao
Paper/Code
2024 IECFNet SR Polyp segmentation based on implicit edge-guided cross-layer fusion networks
Junqing Liu; Weiwei Zhang; Yong Liu; Qinghe Zhang
Paper/Code
2024 PolypInpainter ISBI Generalize Polyp Segmentation via Inpainting across Diverse Backgrounds and Pseudo-Mask Refinement
Jiajian Ma; Fangqi Lu; Silin Huang; Song Wu; Zhen Li
Paper/Code
2024 CIFFormer Processes Improving Polyp Segmentation with Boundary-Assisted Guidance and Cross-Scale Interaction Fusion Transformer Network
Lincen Jiang; Yan Hui; Yuan Fei; Yimu Ji; Tao Zeng
Paper/Code
2024 ICBNet CIBM Iterative feedback-based models for image and video polyp segmentation
Liang Wan; Zhihao Chen; Yefan Xiao; Junting Zhao; Wei Feng; Huazhu Fu
Paper/Code
2024 NPD-Net PR A novel non-pretrained deep supervision network for polyp segmentation
Zhenni Yu; Li Zhao; Tangfei Liao; Xiaoqin Zhang; Geng Chen; Guobao Xiao
Paper/Code
2024 BMFA-Net Appl.Sci BMFA-Net: Boundary Constraint Multi-Level Feature Aggregation Framework for Precise Polyp Segmentation
Qin Li;Tianchi Zhang; Parvej Md Mosharaf; Jing Zhang
Paper/Code
2024 Polyper AAAI Polyper: Boundary Sensitive Polyp Segmentation
Xuguang Cao; Kefeng Fan; Huilin Ma
Paper/Code
2024 CTNet IEEE TCYB CTNet: Contrastive Transformer Network for Polyp Segmentation
Bin Xiao; Jinwu Hu; Weisheng Li; Chi-Man Pun; Xiuli Bi
Paper/Code
2024 unnamed Arxiv Annotation-Efficient Polyp Segmentation via Active Learning
Duojun Huang; Xinyu Xiong; De-Jun Fan; Feng Gao; Xiao-Jian Wu; Guanbin Li
Paper/Code
2024 EfficientPolypSeg BSPC EfficientPolypSeg: Efficient Polyp Segmentation in colonoscopy images using EfficientNet-B5 with dilated blocks and attention mechanisms
Lijin P; Mohib Ullah; Anuja Vats; F.A. Cheikh; Santhosh Kumar G.; Madhu S. Nair
Paper/Code
2024 RSAFormer CIBM RSAFormer: A method of polyp segmentation with region self-attention transformer
Xuehui Yin, Jun Zeng, Tianxiao Hou, Chao Tang, Chenquan Gan, Deepak Kumar Jain, Salvador García
Paper/Code
2024 FoBS IEEE TCSVT The Devil Is in the Boundary: Boundary-enhanced Polyp Segmentation
Zhizhe Liu; Shuai Zheng; Xiaoyi Sun; Zhenfeng Zhu; Yawei Zhao; Xuebing Yang; Yao Zhao
Paper/Code
2024 CAAP-Net IEEE TAI CAAP-Net: Context Aware Automatic Polyp Segmentation Network with Mask Attention
Praveer Saxena; Ashish Kumar Bhandari
Paper/Code
2024 MVOA-Net ESWA Multi-view orientational attention network combining point-based affinity for polyp segmentation
Yan Liu; Yan Yang; Yongquan Jiang; Zhuyang Xie
Paper/Code
2024 BRNet IEEE SPL Boundary Refinement Network for Colorectal Polyp Segmentation in Colonoscopy Images
Guanghui Yue; Yuanyan Li; Wenchao Jiang; Wei Zhou; Tianwei Zhou
Paper/Code

2.2.2. YEAR 2023

Year Model Publication Title Links
2023 ADSNet BMVC ADSNet: Adaptation of Distinct Semantic for Uncertain Areas in Polyp Segmentation
Quang-Vinh Nguyen; Van-Thong Huynh; Soo-Hyung Kim
Paper/Code
2023 CoInNet TMI CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp Segmentation
Samir Jain; Rohan Atale; Anubhav Gupta; Utkarsh Mishra; Ayan Seal; Aparajita Ojha; Joanna Jaworek-Korjakowska
Paper/Code
2023 RFPA MICCAI Revisiting Feature Propagation and Aggregation in Polyp Segmentation
Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng
Paper/Code
2023 FSFM ISBI An Accurate Polyp Segmentation Framework via Feature Secondary Fusion
Yanzhou Su; Qingsong Xie; Jin Ye; Junjun He; Jian Cheng
Paper/Code
2023 RTA-Seg ISBI Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use
Yanzhou Su; Changjian Deng; Zhongying Deng; Jin Ye; Junjun He; Jian Cheng
Paper/Code
2023 M2SNet Arxiv M2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
Xiaoqi Zhao, Hongpeng Jia, Youwei Pang, Long Lv, Feng Tian, Lihe Zhang, Weibing Sun, Huchuan Lu
Paper/Code
2023 MMFIL-Net Displays MMFIL-Net: Multi-level and multi-source feature interactive lightweight network for polyp segmentation
Zaka-Ud-Din Muhammad, Usman Muhammad, Zhangjin Huang, Naijie Gu
Paper/Code
2023 BUNet Neural Networks Boundary uncertainty aware network for automated polyp segmentation
Guanghui Yue, Guibin Zhuo , Weiqing Yan, Tianwei Zhou, Chang Tang, Peng Yang, Tianfu Wang
Paper/Code
2023 CoAM-Net Applied Intelligence CoAM-Net: coordinate asymmetric multi-scale fusion strategy for polyp segmentation
Yuanyuan Wang, Weimin Yuan & Xiangzhi Bai
Paper/Code
2023 CSwinDoubleU-Net BSPC CSwinDoubleU-Net: A double U-shaped network combined with convolution and Swin Transformer for colorectal polyp segmentation
Yuanjie Lin, Xiaoxiang Han, Keyan Chen, Weikun Zhang, Qiaohong Liu
Paper/Code
2023 DAMFormer ICONIP DAMFormer: Enhancing Polyp Segmentation Through Dual Attention Mechanism
Huy Trinh Quang, Mai Nguyen, Quan Nguyen Van, Linh Doan Bao, Thanh Dang Hong, Thanh Nguyen Tung & Toan Pham Van
Paper/Code
2023 META-Unet IEEE TASE META-Unet: Multi-Scale Efficient Transformer Attention Unet for Fast and High-Accuracy Polyp Segmentation
Huisi Wu; Zebin Zhao; Zhaoze Wang
Paper/Code
2023 CFA-Net PR Cross-level Feature Aggregation Network for Polyp Segmentation
Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen
Paper/Code
2023 SAM-polyp Arxiv Can SAM Segment Polyps?
Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen
Paper/Code
2023 CASCADE WACV Medical Image Segmentation via Cascaded Attention Decoding
Md Mostafijur Rahman, Radu Marculescu
Paper/Code
2023 TransNetR MIDL TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
Paper/Code
2023 ESFPNet Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
Qi Chang, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins
Paper/Code
2023 FCB-SwinV2 Transformer Arxiv FCB-SwinV2 Transformer for Polyp Segmentation
Kerr Fitzgerald, Bogdan Matuszewski
Paper/Code
2023 Polyp-SAM Arxiv Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li, Mingzhe Hu, Xiaofeng Yang
Paper/Code
2023 LAPFormer Arxiv LAPFormer: A Light and Accurate Polyp Segmentation Transformer
*Mai Nguyen, Tung Thanh Bui, Quan Van Nguyen, Thanh Tung Nguyen, Toan Van Pham *
Paper/Code
2023 Fu-TransHNet Arxiv Cooperation Learning Enhanced Colonic Polyp Segmentation Based on TransformerCNN Fusion
Yuanyuan Wang, Zhaohong Deng,Qiongdan Lou, Shudong Hu, Kup-sze Choi, Shitong Wang
Paper/Code
2023 PEFNet MMM PEFNet: Positional Embedding Feature for Polyp Segmentation
Trong-Hieu Nguyen-Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Phuoc-Thao Vo Thi, Minh-Van Nguyen, Xuan-Nam Cao, Minh-Triet Tran, Hai-Dang Nguyen
Paper/Code
2023 APCNet TIM Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images
Guanghui Yue,Siying Li, Runmin Cong, Tianwei Zhou, Baiying Lei, Tianfu Wang
Paper/Code
2023 unnamed Neurocomputingg Accurate polyp segmentation through enhancing feature fusion and boosting boundary performanc
Yanzhou Su, Jian Cheng, Chuqiao Zhong, Chengzhi Jiang, Jin Ye, Junjun He
Paper/Code
2023 FeDNet BSPC FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images
Yanzhou Su, Jian Cheng, Chuqiao Zhong, Yijie Zhang, Jin Ye, Junjun He, Jun Liu
Paper/Code
2023 HarDNet-CPS BSPC HarDNet-CPS: Colorectal polyp segmentation based on Harmonic Densely United Network
Tong Yu, Qingxiang Wu
Paper/Code
2023 RA-DENet CIBM RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation
Kaiqi Wang, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng
Paper/Code
2023 PPNet CIBM PPNet: Pyramid pooling based network for polyp segmentation
Keli Hu, Wenping Chen, YuanZe Sun, Xiaozhao Hu, Qianwei Zhou, Zirui Zheng
Paper/Code
2023 EMTS-Net JBHI An Efficient Multi-Task Synergetic Network for Polyp Segmentation and Classification
Miao Wang, Xingwei An, Zhengcun Pei, Ning Li, Li Zhang, Gang Liu and Dong Ming
Paper/Code
2023 unnamed ICASSP Semantic Memory Guided Image Representation for Polyp Segmentation
Zijin Yin, Runpu Wei, Kongming Liang , Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo
Paper/Code
2023 DilatedSegNet MMM DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
Paper/Code
2023 CAFE-Net Expert Syst. Appl. CAFE-Net: Cross-Attention and Feature Exploration Network for polyp segmentation
Guoqi Liu, Sheng Yao, Dong Liu, Baofang Chang , Zongyu Chen, Jiajia Wang, Jiangqi Wei
Paper/Code
2023 MMS-Net Eng Appl Artif Intell Simple and robust depth-wise cascaded network for polyp segmentation
Tariq M. Khan, Muhammad Arsalan, Imran Razzak, Erik Meijering
Paper/Code
2023 CRCNet Biomed Signal Process Contro CRCNet: Global-local context and multi-modality cross attention for polyp segmentation
Jianbo Zhu, Mingfeng Ge, Zhimin Chang, Wenfei Dong
Paper/Code
2023 CoInNet IEEE TMI CoInNet: A Convolution-Involution Network with a Novel Statistical Attention for Automatic Polyp Segmentation
Samir Jain; Rohan Atale; Anubhav Gupta; Utkarsh Mishra; Ayan Seal; Aparajita Ojha; Joanna Kuncewicz; Ondrej Krejcar
Paper/Code
2023 PSNet SR Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images
John Lewis, Young-Jin Cha,Jongho Kim
Paper/Code
2023 RT-Net NPL RT-Net: Region-Enhanced Attention Transformer Network for Polyp Segmentation
Yilin Qin,Haiying Xia,Shuxiang Song
Paper/Code
2023 BLE-Net ACM MM BLE-Net: boundary learning and enhancement network for polyp segmentation
Na Ta, Haipeng Chen, Yingda Lyu & Taosuo Wu
Paper/Code
2023 EMTS-Net JBHI An Efficient Multi-Task Synergetic Network for Polyp Segmentation and Classification
Miao Wang; Xingwei An; Zhengcun Pei; Ning Li; Li Zhang; Gang Liu; Dong Ming
Paper/Code
2023 Polyp-Mixer TCSVT Polyp-Mixer: An Efficient Context-Aware MLP-Based Paradigm for Polyp Segmentation
Jing-Hui Shi; Qing Zhang; Yu-Hao Tang; Zhong-Qun Zhang
Paper/Code
2023 Conv-MLP TVC Polyp segmentation with convolutional MLP
Yan Jin, Yibiao Hu, Zhiwei Jiang & Qiufu Zheng
Paper/Code

2.2.3. YEAR 2022

Year Model Publication Title Links
2022 Polyp2Seg LNCS Polyp2Seg: Improved Polyp Segmentation with Vision Transformer
Vittorino Mandujano-Cornejo;Javier A. Montoya-Zegarra
Paper/Code
2022 BSCA-Net PR BSCA-Net: Bit Slicing Context Attention Network for Polyp Segmentation
Yi Lin, Jichun Wu, Guobao Xiao, Junwen Guo, Geng Chen, Jiayi Ma
Paper/Code
2022 TRFRNet(UDA) MICCAI Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation
Yutian Shen, Ye Lu, Xiao Jia, Fan Bai, Max Q.-H. Meng
Paper/Code
2022 TGANet MICCAI TGANet: Text-guided attention for improved polyp segmentation
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
Paper/Code
2022 LDNet MICCAI Lesion-Aware Dynamic Kernel for Polyp Segmentation
Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li
Paper/Code
2022 SSFormer MICCAI Stepwise Feature Fusion: Local Guides Global
Jinfeng Wang, Qiming Huang, Feilong Tang, Jia Meng, Jionglong Su, Sifan Song
Paper/Code
2022 BoxPolyp MICCAI BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S. Kevin Zhou, Zhen Li
Paper/Code
2022 PPFormer MICCAI Using Guided Self-Attention with Local Information for Polyp Segmentation
*Linghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu, Qi Zhao *
Paper/Code
2022 MSRF-Net JBHI MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen
Paper/Code
2022 BCNet JBHI Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation
Guanghui Yue, Wanwan Han, Bin Jiang, Tianwei Zhou, Runmin Cong, Tianfu Wang
Paper/Code
2022 DCRNet ISBI Duplex contextual relation network for polyp segmentation
Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo
Paper/Code
2022 FCBFormer MIUA FCN-Transformer Feature Fusion for Polyp Segmentation
Edward Sanderson, Bogdan J. Matuszewski
Paper/Code
2022 ColonFormer Access ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
Nguyen Thanh Duc, Nguyen Thi Oanh, Nguyen Thi Thuy, Tran Minh Triet, Dinh Viet Sang
Paper/Code
2022 BDG-Net Medical Imaging 2022: Image Processing BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation
Zihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu
Paper/Code
2022 HarDNet-DFUS Arxiv HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation
Ting-Yu Liao, Ching-Hui Yang, Yu-Wen Lo, Kuan-Ying Lai, Po-Huai Shen, Youn-Long Lin
Paper/Code
2022 DuAT Arxiv DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu
Paper/Code
2022 SEP Arxiv Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation
Lei Zhou
Paper/Code
2022 TC-Net BIBM Temporal Correlation Network for Video Polyp Segmentation
Ziheng Xu, Dehui Qiu, Senlin Lin, Xinyue Zhang, Sheng Shi, Shengtao Zhu, Fa Zhang, Xiaohua Wan
Paper/Code
2022 TransMixer BIBM TransMixer: A Hybrid Transformer and CNN Architecture for Polyp Segmentation
Yanglin Huang, Donghui Tan, Yuan Zhang, Xuanya Li, Kai Hu
Paper/Code
2022 ICBNet BIBM ICBNet: Iterative Context-Boundary Feedback Network for Polyp Segmentation
Yefan Xiao, Zhihao Chen, Liang Wan, Lequan Yu, Lei Zhu
Paper/Code
2022 CLD-Net BIBM CLD-Net: Complement Local Detail For Medical Small-Object Segmentation
Rui Chen, Xiangfeng Wang, Bo Jin, Jiaqi Tu, Fengping Zhu, Yuxin Li
Paper/Code
2022 TASNet BIBM Single-Modality Endoscopic Polyp Segmentation via Random Color Reversal Synthesis and Two-Branched Learning
Mingzhu Chen, Xiaotong Li, Jilan Xu, Runtian Yuan, Yuejie Zhang, Rui Feng, Tao Zhang, Shang Gao
Paper/Code
2022 unnamed PRCV Boundary-Aware Polyp Segmentation Network
Lu Lu, Xitong Zhou, Shuhan Chen, Zuyu Chen, Jinhao Yu, Haonan Tang, Xuelong Hu
Paper/Code
2022 FuzzyNet NeurIPS FuzzyNet: A Fuzzy Attention Module for Polyp Segmentation
Krushi Patel, Fenjun Li, Guanghui Wang
Paper/Code
2022 SwinPA-Net TNNLS SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation
Hao Du, Jiazheng Wang, Min Liu, Yaonan Wang, Erik Meijering
Paper/Code
2022 HSNet CIBM HSNet: A hybrid semantic network for polyp segmentation
Wenchao Zhang, Chong Fu, Yu Zheng, Fangyuan Zhang, Yanli Zhao, Chiu-Wing Sham
Paper/Code
2022 MSRAformer CIBM MSRAformer: Multiscale spatial reverse attention network for polyp segmentation
Cong Wu, Cheng Long, Shijun Li, Junjie Yang, Fagang Jiang, Ran Zhou
Paper/Code
2022 SwinE-Net JCR SwinE-Net: hybrid deep learning approach to novel polyp segmentation using convolutional neural network and Swin Transformer
Kyeong-Beom Park, Jae Yeol Lee
Paper/Code
2022 AMNet CIBM Attention based multi-scale parallel network for polyp segmentation
Pengfei Song, Jinjiang Li, Hui Fan
Paper/Code
2022 PolypSeg+ TCYB PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation
Huisi Wu; Zebin Zhao; Jiafu Zhong; Wei Wang; Zhenkun Wen; Jing Qin
Paper/Code
2022 DBMF CIBM DBMF: Dual Branch Multiscale Feature Fusion Network for polyp segmentation
Fangjin Liu, Zhen Hua, Jinjiang Li, Linwei Fan
Paper/Code
2022 ACENet CIBM Adaptive Context Exploration Network for Polyp Segmentation in Colonoscopy Images
Guanghui Yue, Siying Li, Tianwei Zhou, Miaohui Wang,Jingfeng Du,Qiuping Jiang,Wei Gao,Tianfu Wang,Jun Lv
Paper/Code
2022 MIA-Net KBS MIA-Net: Multi-information aggregation network combining transformers and convolutional feature learning for polyp segmentation
Weisheng Li, Yinghui Zhao, Feiyan Li, Linhong Wang
Paper/Code
2022 FAPN BSPC FAPN: Feature Augmented Pyramid Network for polyp segmentation
Yanzhou Su, Jian Cheng, Murong Yi, Haijun Liu
Paper/Code

2.2.4. YEAR 2021

Year Model Publication Title Links
2021 MSNet MICCAI Automatic Polyp Segmentation via Multi-scale Subtraction Network
Xiaoqi Zhao, Lihe Zhang, Huchuan Lu
Paper/Code
2021 CCBANet MICCAI CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation
Tan-Cong Nguyen, Tien-Phat Nguyen, Gia-Han Diep, Anh-Huy Tran-Dinh, Tam V. Nguyen, Minh-Triet Tran
Paper/Code
2021 HRENet MICCAI HRENet: A Hard Region Enhancement Network for Polyp Segmentation
*Yutian Shen, Xiao Jia, Max Q.-H. Meng
Paper/Code
2021 LOD-Net MICCAI Learnable Oriented-Derivative Network for Polyp Segmentation
Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen
Paper/Code
2021 STFT MICCAI Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang
Paper/Code
2021 SANet MICCAI Shallow Attention Network for Polyp Segmentation
Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui
Paper/Code
2021 TransFuse MICCAI TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang, Huiye Liu, Qiang Hu
Paper/Code
2021 MPA-DA(UDA) JBHI Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation
Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan
Paper/Code
2021 ResUNet++ + TTA + CRF JBHI A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Havard D. Johansen, Pal Halvorsen, and Michael A. Riegler
Paper/Code
2021 C2FNet IJCAI Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu
Paper/Code
2021 UACANet ACM MM UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
Taehun Kim, Hyemin Lee, Daijin Kim
Paper/Code
2021 Polyp-PVT CAAI AIR Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao
Paper/Code
2021 A-DenseUNet Sensors A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution
Safarov SIrojbek
Paper/Code
2021 FANet TNNLS FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
Paper/Code
2021 EU-Net CRV Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
Krushi Patel, Andres M. Bur, Guanghui Wang
Paper/Code
2021 HarDNet-MSEG Arxiv HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Chien-Hsiang Huang, Hung-Yu Wu, Youn-Long Lin
Paper/Code
2021 CaraNet Arxiv CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects
Ange Lou, Shuyue Guan, Hanseok Ko, Murray Loew
Paper/Code
2021 GMSRF-Net ICPR GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Umapada Pal, Sharib Ali
Paper/Code
2021 DDANet PR DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler & Pål Halvorsen
Paper/Code
2021 Focus U-Net CIBM Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Paper/Code
2021 NeoUNet AC NeoUNet : Towards Accurate Colon Polyp Segmentation and Neoplasm Detection
Phan Ngoc Lan, Nguyen Sy An, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Nguyen Thi Thuy & Dinh Viet Sang
Paper/Code
2021 unnamed PR Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation
Adrian Galdran, Gustavo Carneiro,Miguel A. González Ballester
Paper/Code

2.2.5. Before YEAR 2021

Year Model Publication Title Links
2020 PraNet MICCAI PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao
Paper/Code
2020 ACSNet MICCAI Adaptive Context Selection for Polyp Segmentation
Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu
Paper/Code
2020 PolypSeg MICCAI PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos
Jiafu Zhong, Wei Wang, Huisi Wu, Zhenkun Wen, Jing Qin
Paper/Code
2020 ThresholdNet TMI Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation
Xiaoqing Guo, Chen Yang, Yajie Liu, Yixuan Yuan
Paper/Code
2019 ResUNet++ ISM ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pal Halvorsen, Havard D. Johansen
Paper/Code
2019 SFA MICCAI Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation
Yuqi Fang, Cheng Chen, Yixuan Yuan, Kai-yu Tong
Paper/Code

2.4. Video Polyp Segmentation

Year Model Publication Title Links
2023 ESFPNet Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
Qi Chang, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins
Paper/Code
2022 PNS+ MIR Video Polyp Segmentation: A Deep Learning Perspective
Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen & Luc Van Gool
Paper/Code
2022 SSTAN(Semi-Supervised) MICCAI Semi-supervised Spatial Temporal Attention Network for Video Polyp Segmentation
Xinkai Zhao1, Zhenhua Wu, Shuangyi Tan, De-Jun Fan, Zhen Li, Xiang Wan, Guanbin Li
Paper/Code
2021 PNS-Net MICCAI Progressively Normalized Self-Attention Network for Video Polyp Segmentation
*Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao
Paper/Code
2021 SCR-Net Proceedings of the AAAI Conference on Artificial Intelligence Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos
Huisi Wu,Jiafu Zhong,Wei Wang,Zhenkun Wen,Jing Qin
Paper/Code
2021 NanoNet CBMS NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
Debesh Jha; Nikhil Kumar Tomar; Sharib Ali; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Pål Halvorsen
Paper/Code
2020 PraNet MICCAI PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao
Paper/Code
2020 MAT IEEE TIP MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation
Tianfei Zhou; Jianwu Li; Shunzhou Wang;Ran Tao;Jianbing Shen
Paper/Code
2019 COSNet CVPR2019 See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli
Paper/Code

3. Resource list

We have collected segmentation results from some representative polyp segmentation models and evaluated the results based on the performance metrics of PraNet. You can download them through Google Drive.

Segmentation Maps: Google Drive

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