| 2023 | MICCAI | WeakPolyp: You Only Look Bounding Box for Polyp Segmentation | Paper/Code |
| 2023 | MICCAI | Revisiting Feature Propagation and Aggregation in Polyp Segmentation | Paper |
| 2023 | MICCAI | Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation | Paper |
| 2023 | MICCAI | S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation | Paper/Code |
| 2023 | arXiv | Can SAM Segment Polyps? | Paper |
| 2023 | arXiv | Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation? | Paper |
| 2023 | arXiv | Polyp-SAM: Transfer SAM for Polyp Segmentation | Paper |
| 2023 | PR | Cross-level Feature Aggregation Network for Polyp Segmentation | Paper/Code |
| 2023 | BMVC | ADSNet ADSNet: Adaptation of Distinct Semantic for Uncertain Areas in Polyp Segmentation | Paper |
| 2022 | ISICT | Incremental Boundary Refinement using Self Axial Reverse Attention and Uncertainty-aware Gate for Colon Polyp Segmentation | Paper*/Code |
| 2022 | TVCJ | DCANet: deep context attention network for automatic polyp segmentation | Paper/Code |
| 2022 | arXiv | Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers | Paper/Code |
| 2022 | arXiv | Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation | Paper/Code |
| 2022 | CBM | MSRAformer: Multiscale spatial reverse attention network for polyp segmentation | Paper*/Code |
| 2022 | CBM | DBMF: Dual Branch Multiscale Feature Fusion Network for polyp segmentation | Paper*/Code |
| 2022 | ICAISM | Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet | Paper/Code |
| 2022 | ICMAR | Polyp segmentation algorithm combining multi-scale attention and multi-layer loss | Paper*/Code |
| 2022 | MICCAI | Using Guided Self-Attention with Local Information for Polyp Segmentation | Paper/Code |
| 2022 | MICCAI | Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation | Paper/Code |
| 2022 | MICCAI | TGANet: Text-guided attention for improved polyp segmentation | Paper/Code |
| 2022 | MICCAI | Lesion-Aware Dynamic Kernel for Polyp Segmentation | Paper/Code |
| 2022 | MICCAI | Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation | Paper/Code |
| 2022 | CMIG | Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling | Paper/Code |
| 2022 | Gastroenterology Insights | UPolySeg: A U-Net-Based Polyp Segmentation Network Using Colonoscopy Images | Paper/Code |
| 2022 | Electronics | A Segmentation Algorithm of Colonoscopy Images Based on Multi-Scale Feature Fusion | Paper/Code |
| 2022 | TCSVT | Polyp-Mixer: An Efficient Context-Aware MLP-based Paradigm for Polyp Segmentation | Paper/Code |
| 2022 | TETCI | Adaptive Context Exploration Network for Polyp Segmentation in Colonoscopy Images | Paper/Code |
| 2022 | IJCAI | ICGNet: Integration Context-Based Reverse-Contour Guidance Network for Polyp Segmentation | Paper/Code |
| 2022 | IJCAI | TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation | Paper/Code |
| 2022 | AIM | An end-to-end tracking method for polyp detectors in colonoscopy videos | Paper/Code |
| 2022 | MIUA | Polyp2Seg: Improved Polyp Segmentation with Vision Transformer | Paper/Code |
| 2022 | CVIP | Localization of Polyps in WCE Images Using Deep Learning Segmentation Methods: A Comparative Study | Paper/Code |
| 2022 | AIMD | SARM-Net: A Spatial Attention-Based Residual M-Net for Polyp Segmentation | Paper/Code |
| 2022 | BSPC | FAPN: Feature Augmented Pyramid Network for polyp segmentation | Paper/Code |
| 2022 | BSPC | Automated polyp segmentation in colonoscopy images via deep network with lesion-aware feature selection and refinement | Paper/Code |
| 2022 | ICFCS | U-Shaped Xception-Residual Network for Polyps Region Segmentation | Paper/Code |
| 2022 | CBM | Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement | Paper/Code |
| 2022 | IJCARS | Examining the effect of synthetic data augmentation in polyp detection and segmentation | Paper/Code |
| 2022 | IEEE Access | Polyp Segmentation of Colonoscopy Images by Exploring the Uncertain Areas | Paper/Code |
| 2022 | JBHI | Boundary Constraint Network with Cross Layer Feature Integration for Polyp Segmentation | Paper/Code |
| 2022 | CMIG | Polyp Segmentation Network with Hybrid Channel-Spatial Attention and Pyramid Global Context Guided Feature Fusion | Paper/Code |
| 2022 | arXiv | Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network | Paper/Code |
| 2022 | arXiv | PlutoNet: An Efficient Polyp Segmentation Network | Paper/Code |
| 2022 | arXiv | Automated Polyp Segmentation in Colonoscopy using MSRFNet | Paper/Code |
| 2022 | arXiv | BlazeNeo: Blazing fast polyp segmentation and neoplasm detection | Paper/Code |
| 2022 | arXiv | BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation | Paper/Code |
| 2022 | arXiv | Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation | Paper/Code |
| 2022 | arXiv | ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation | Paper/Code |
| 2022 | KBS | MIA-Net: Multi-information aggregation network combining transformers and convolutional feature learning for polyp segmentation | Paper/Code |
| 2022 | Diagnostics | Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets | Paper/Code |
| 2022 | IEEE TCyber | PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation | Paper/Code |
| 2022 | JCDE | SwinE-Net: hybrid deep learning approach to novel polyp segmentation using convolutional neural network and Swin Transformer | Paper/Code |
| 2022 | IEEE JBHI | Artificial Intelligence for Colonoscopy: Past, Present, and Future | Paper/Code |
| 2021 | ICONIP | Multi-scale Fusion Attention Network for Polyp Segmentation | Paper/Code |
| 2021 | AAAI | Precise yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos | Paper/Code |
| 2021 | ICCV | Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-supervised Polyp Segmentation | Paper/Code |
| 2021 | ACM MM | UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation | Paper/Code |
| 2021 | Healthcare | TMD-Unet: Triple-Unet with Multi-Scale Input Features and Dense Skip Connection for Medical Image Segmentation | Paper/Code |
| 2021 | ICPR | DDANet: Dual decoder attention network for automatic polyp segmentation | Paper/Code |
| 2021 | ICDSIT | Sa-HarDNeSt: A Self-Attention Network for Polyp Segmentation | Paper/Code |
| 2021 | IJCAI | Medical image segmentation using squeeze-and-expansion transformers | Paper/Code |
| 2021 | IEEE ISBI | DivergentNets: Medical Image Segmentation by Network Ensemble | Paper/Code |
| 2021 | IEEE JBHI | A comprehensive study on colorectal polyp segmentation with resunet++, conditional random field and test-time augmentation | Paper/Code |
| 2021 | IEEE JBHI | Mutual-prototype adaptation for cross-domain polyp segmentation | Paper/Code |
| 2021 | MIA | Dynamic-weighting hierarchical segmentation network for medical images | Paper/Code |
| 2021 | MICCAI | Automatic Polyp Segmentation via Multi-scale Subtraction Network | Paper/Code |
| 2021 | MICCAI | CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation | Paper*/Code |
| 2021 | MICCAI | Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images | Paper/Code |
| 2021 | MICCAI | Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation | Paper/Code |
| 2021 | MICCAI | HRENet: A Hard Region Enhancement Network for Polyp Segmentation | Paper*/Code |
| 2021 | MICCAI | Few-Shot Domain Adaptation with Polymorphic Transformers | Paper/Code |
| 2021 | MICCAI | Learnable Oriented-Derivative Network for Polyp Segmentation | Paper*/Code |
| 2021 | MICCAI | Shallow attention network for polyp segmentation | Paper/Code |
| 2021 | MICCAI | Transfuse: Fusing transformers and cnns for medical image segmentation | Paper/Code |
| 2021 | MIDL | Deep ensembles based on stochastic activation selection for polyp segmentation | Paper/Code |
| 2021 | NCBI | MBFFNet: Multi-Branch Feature Fusion Network for Colonoscopy | Paper/Code |
| 2021 | RIVF | AG-CUResNeSt: A novel method for colon polyp segmentation | Paper/Code |
| 2021 | Sensors | A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution | Paper/Code |
| 2021 | IEEE TIM | Colon Polyp Detection and Segmentation Based on Improved MRCNN | Paper/Code |
| 2021 | IEEE TIM | Polyp-Net A Multimodel Fusion Network for Polyp Segmentation | Paper/Code |
| 2021 | IEEE TMI | Graph-based Region and Boundary Aggregation for Biomedical Image Segmentation | Paper/Code |
| 2021 | IEEE Access | A Simple Generic Method for Effective Boundary Extraction in Medical Image Segmentation | Paper*/Code |
| 2021 | IEEE Access | CRF-EfficientUNet: An Improved UNet Framework for Polyp Segmentation in Colonoscopy Images With Combined Asymmetric Loss Function and CRF-RNN Layer | Paper/Code |
| 2021 | IEEE Access | Real-time polyp detection, localization and segmentation in colonoscopy using deep learning | Paper/Code |
| 2021 | IEEE Access | Training on Polar Image Transformations Improves Biomedical Image Segmentation | Paper/Code |
| 2021 | BioMed | Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network | Paper/Code |
| 2021 | CBM | Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy | Paper/Code |
| 2021 | CBMS | Nanonet: Real-time polyp segmentation in video capsule endoscopy and colonoscopy | Paper/Code |
| 2021 | CRV | Enhanced u-net: A feature enhancement network for polyp segmentation | Paper/Code |
| 2021 | IEEE DDCLS | MSB-Net: Multi-Scale Boundary Net for Polyp Segmentation | Paper*/Code |
| 2021 | arXiv | BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation | Paper/Code |
| 2021 | arXiv | CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects | Paper/Code |
| 2021 | arXiv | DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation | Paper/Code |
| 2021 | arXiv | Duplex contextual relation network for polyp segmentation | Paper/Code |
| 2021 | arXiv | Few-shot segmentation of medical images based on meta-learning with implicit gradients | Paper/Code |
| 2021 | arXiv | GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation | Paper/Code |
| 2021 | arXiv | Hardnet-mseg: A simple encoder-decoder polyp segmentation neural network that achieves over 0.9 mean dice and 86 fps | Paper/Code |
| 2021 | arXiv | NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection | Paper/Code |
| 2021 | arXiv | Polyp segmentation in colonoscopy images using u-net-mobilenetv2 | Paper/Code |
| 2021 | arXiv | Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers | Paper/Code |
| 2021 | arXiv | Self-supervised Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images | Paper/Code |
| 2020 | IEEE Access | Contour-Aware Polyp Segmentation in Colonoscopy Images Using Detailed Upsamling Encoder-Decoder Networks | Paper/Code |
| 2020 | arXiv | Automatic polyp segmentation using convolution neural networks | Paper/Code |
| 2020 | arXiv | Boundary-aware Context Neural Network for Medical Image Segmentation | Paper/Code |
| 2020 | CBMS | DoubleU-Net A Deep Convolutional Neural Network for Medical Image Segmentation | Paper/Code |
| 2020 | HYDCON | Polyps Segmentation using Fuzzy Thresholding in HSV Color Space | Paper/Code |
| 2020 | ICARM | Real-time Colonoscopy Image Segmentation Based on Ensemble Knowledge Distillation | Paper/Code |
| 2020 | IEEE ISBI | SSN A stair-shape network for real-time polyp segmentation in colonoscopy images | Paper/Code |
| 2020 | IEEE JBHI | Multi-scale Context-guided Deep Network for Automated Lesion Segmentation with Endoscopy Images of Gastrointestinal Tract | Paper/Code |
| 2020 | MIA | Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps | Paper/Code |
| 2020 | MICCAI | Adaptive context selection for polyp segmentation | Paper/Code |
| 2020 | MICCAI | Mi2gan: Generative adversarial network for medical image domain adaptation using mutual information constraint | Paper/Code |
| 2020 | MICCAI | Pranet: Parallel reverse attention network for polyp segmentation | Paper/Code |
| 2020 | MICCAI | PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos | Paper/Code |
| 2020 | MIUA | Polyp Segmentation with Fully Convolutional Deep Dilation Neural Network | Paper*/Code |
| 2020 | RIVF | Polyp Segmentation in Colonoscopy Images Using Ensembles of U-Nets with EfficientNet and Asymmetric Similarity Loss Function | Paper/Code |
| 2020 | Sensors | ABC-Net Area-Boundary Constraint Network with Dynamical Feature Selection for Colorectal Polyp Segmentation | Paper/Code |
| 2020 | IEEE TMI | Learn to Threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation | Paper/Code |
| 2019 | IEEE Access | Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images | Paper/Code |
| 2019 | CBMS | Training Data Enhancements for Robust Polyp Segmentation in Colonoscopy Images | Paper/Code |
| 2019 | EMBC | Psi-net: Shape and boundary aware joint multi-task deep network for medical image segmentation | Paper/Code |
| 2019 | EMBC | Polyp Segmentation using Generative Adversarial Network | Paper*/Code |
| 2019 | ICMLA | Colorectal polyp segmentation by u-net with dilation convolution | Paper/Code |
| 2019 | ISM | ResUNet++: An Advanced Architecture for Medical Image Segmentation | Paper/Code |
| 2019 | ISMICT | Polyp detection and segmentation using mask r-cnn: Does a deeper feature extractor cnn always perform better? | Paper/Code |
| 2019 | MICCAI | Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation | Paper*/Code |
| 2019 | Nature | U-Net – Deep Learning for Cell Counting, Detection, and Morphometry | Paper/Code |
| 2018 | DLMIA | Unet++: A nested u-net architecture for medical image segmentation | Paper/Code |
| 2018 | EMBC | Polyp segmentation in colonoscopy images using fully convolutional network | Paper/Code |
| 2018 | ICMM | Real-Time Polyps Segmentation for Colonoscopy Video Frames Using Compressed Fully Convolutional Network | Paper/Code |
| 2018 | JMRR | Towards a computed-aided diagnosis system in colonoscopy | Paper/Code |
| 2018 | Medical Robotics Res | Automatic polyp segmentation using convolution neural networks | Paper/Code |
| 2017 | ISOP | Fully convolutional neural networks for polyp segmentation in colonoscopy | Paper/Code |
| 2017 | SPMB | Superpixel based segmentation and classification of polyps in wireless capsule endoscopy | Paper/Code |
| 2016 | IEEE TMI | Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? | Paper/Code |
| 2016 | ComNet | Advanced Algorithm for Polyp Detection Using Depth Segmentation in Colon Endoscopy | Paper*/Code |
| 2015 | MICCAI | U-net: Convolutional networks for biomedical image segmentation | Paper/Code |
| 2015 | CMIG | WM-DOVA Maps for Accurate Polyp Highlighting in Colonoscopy: Validation vs. Saliency Maps from Physicians | Paper/Code |
| 2014 | IJPRAI | A complete system for candidate polyps detection in virtual colonoscopy | Paper/Code |
| 2014 | IEEE TMI | Automated polyp detection in colon capsule endoscopy | Paper/Code |
| 2012 | PR | Towards Automatic Polyp Detection with a Polyp Appearance Model | Paper/Code |
| 2010 | IEEE ICASSP | Polyp detection in Wireless Capsule Endoscopy videos based on image segmentation and geometric feature | Paper*/Code |
