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Awesome Video Polyp Segmentation

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This is a paper collection of 133 colonoscopy imaging-based AI scientific researches in recent 12 years.

In order to better understand the development of this field and to help researchers in their research process, we have divided the works into five tasks, including 133 papers on image polyp segmentation, 5 papers on video polyp segmentation, 17 papers on image polyp detection, 11 papers on video polyp detection, 6 paper on image polyp classification, 1 paper on video polyp classification, 2 paper on colonoscopy depth estimation, 1 paper on colonoscopy deficient coverage detection, and 1 paper on colon polyp image synthesis.

Besides, we present the collection of 14 polyp related datasets, including 8 image segmentation datasets, 2 video segmentation datasets, 1 video detection dataset, 3 video classification datasets, and 2 colonoscopy depth dataset.

In addition, we provide links to each paper and its repository whenever possible. * denotes the corresponding paper cannot be downloaded or the link is connected to the journal.

Note that this page is under construction. If you have anything to recommend or any suggestions, please feel free to contact us via e-mail (gepengai.ji@gmail) or directly push a PR.

--- Last updated: 12/07/2022 ---

1.1. Table of Contents

2. Polyp Related Methods

2.1 Image Polyp Segmentation

Yr. Pub. Title Links
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

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2.2 Video Polyp Segmentation

Yr. Pub. Title Links
2022 MICCAI Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation Paper/Code
2022 AAAI TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation Paper/Code
2022 MIR 🔥 Video Polyp Segmentation: A Deep Learning Perspective Paper/Code
2021 MICCAI Progressively Normalized Self-Attention Network for Video Polyp Segmentation Paper/Code
2020 MICCAI Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN Paper/Code

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2.3 Image Polyp Detection

Yr. Pub. Title Links
2022 JSJU Improving Colonoscopy Polyp Detection Rate Using Semi-Supervised Learning Paper/Code
2022 IJCARS Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation Paper/Code
2022 arXiv Colonoscopy polyp detection with massive endoscopic images Paper/Code
2021 arXiv Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning Paper/Code
2020 Scientific Data HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy Paper/Project
2020 Scientific reports Real-time detection of colon polyps during colonoscopy using deep learning: systematic validation with four independent datasets Paper/Code
2020 IEEE ISBI Reduce false-positive rate by active learning for automatic polyp detection in colonoscopy videos Paper/Code
2020 TransAI Artifact Detection in Endoscopic Video with Deep Convolutional Neural Networks Paper*/Code
2019 IEEE Access Colonic Polyp Detection in Endoscopic Videos With Single Shot Detection Based Deep Convolutional Neural Network Paper/Code
2019 ICTAI An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video Paper*/Code
2018 arXiv Y-net: A deep convolutional neural network for polyp detection Paper/Code
2017 IEEE TMI Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge Paper/Code
2015 IEEE TMI Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information Paper/Code
2009 Bildverarbeitung fur die Medizin Texturebased polyp detection in colonoscopy Paper/Code
2009 Proc. SPIE A comparison of blood vessel features and local binary patterns for colorectal polyp classification Paper/Code
2007 IEEE ICIP Polyp detection in colonoscopy video using elliptical shape feature Paper/Code

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2.4 Video Polyp Detection

Yr. Pub. Title Links
2023 MICCAI Self-Supervised Polyp Re-Identification in Colonoscopy Paper/Code
2023 MICCAI YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection Paper/Code
2021 BSPC Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit Paper/Code
2021 EIO Real-time deep learning-based colorectal polyp localization on clinical video footage achievable with a wide array of hardware configurations Paper/Code
2021 MICCAI Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation Paper/Code
2020 IEEE ISBI Polyp detection in colonoscopy videos by bootstrapping via temporal consistency Paper/Code
2020 JBHI Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video Paper/Code
2020 NPJ Digital Medicine AI-doscopist: a real-time deep-learning-based algorithm for localising polyps in colonoscopy videos with edge computing devices Paper/Code
2020 MICCAI Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection Paper*/Code
2019 IEEE ISBI POLYP TRACKING IN VIDEO COLONOSCOPY USING OPTICAL FLOW WITH AN ON-THE-FLY TRAINED CNN Paper*/Code
2017 JBHI Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos Paper/Code
2015 IPMI A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos Paper/Code
2015 IEEE ISBI Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks Paper/Code

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2.5 Image Polyp Classification

Yr. Pub. Title Links
2022 MICCAI FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification Paper/Code
2022 MICCAI Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation Consistency Paper/Code
2020 IEEE ISBI Photoshopping Colonoscopy Video Frames Paper/Code
2020 MICCAI Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy Paper/Code
2020 MICCAI Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis Paper/Code
2014 JICARS Towards embedded detection of polyps in WCE images for early diagnosis of colorectal cancer Paper/Code

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2.6 Video Polyp Classification

Yr. Pub. Title Links
2022 MICCAI Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection Paper/Code

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2.7 Colonoscopy Depth Estimation

Yr. Pub. Title Links
2022 arXiv Task-Aware Active Learning for Endoscopic Image Analysis Paper/Code
2019 IJCARS Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy Paper/Code/Project

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2.8 Colonoscopy Deficient Coverage Detection

Yr. Pub. Title Links
2020 IEEE TMI Detecting Deficient Coverage in Colonoscopies Paper/Code

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2.9 Colon Polyp Image Synthesis

Yr. Pub. Title Links
2018 IEEE Access Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance Paper/Code

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3. Colonoscopy Resources

3.1 Image Segmentation Datasets

Yr. Pub. Title Links
2022 arXiv ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification Paper/Project
2022 arXiv Synthetic data for unsupervised polyp segmentation Paper/Code/Project
2020 ICMM Kvasir-SEG - Kvasir-seg: A segmented polyp dataset Paper/Code
2017 JHE CVC-EndoSceneStill - A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images Paper/Project
2015 CMIG CVC-ClinicDB/CVC-612 - WM-DOVA Maps for Accurate Polyp Highlighting in Colonoscopy: Validation vs. Saliency Maps from Physicians Paper/Project
2014 JICARS ETIS-Larib Polyp DB - Towards embedded detection of polyps in WCE images for early diagnosis of colorectal cancer Paper/Project
2012 PR CVC-ColonDB/CVC-300 - Towards Automatic Polyp Detection with a Polyp Appearance Model Paper/Project
_ _ PICCOLO - PICCOLO RGB/NBI (WIDEFIELD) IMAGE COLLECTION Project

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3.2 Video Segmentation Datasets

Yr. Pub. Title Links
2017 EIO KID Project - KID Project: an internet-based digital video atlas of capsule endoscopy for research purposes Paper/Project
2015 IEEE TMI ASU-Mayo - Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information Paper/Project

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3.3 Video Detection Datasets

Yr. Pub. Title Links
2021 GE SUN Dataset - Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video) Paper/Project

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3.4 Video Classification Datasets

Yr. Pub. Title Links
2020 Scientific Data HyperKvasir - HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy Paper/Project
2017 ACM MSC Kvasir - KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection Paper/Project
2017 IEEE TMI Colonoscopic Dataset - Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy Paper/Project

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3.5 Colonoscopy Depth Datasets

Yr. Pub. Title Links
2020 IEEE TMI Detecting Deficient Coverage in Colonoscopies Paper/Code/Project
2019 IJCARS Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy Paper/Project

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4. Useful Resources

4.1 Colonoscopy Related

4.2 AI Conference Deadlines

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