mlsanityData to 7 Oct 2026

Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations

arXiv 2104.10824 ↗First posted 22 Apr 2021cs.CV cs.AIcited by 38

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Abstract (arXiv)

Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effective in reducing CRC mortality. Thus, a reliable computer-aided polyp detection and classification system can significantly increase the effectiveness of colonoscopy. In this paper, we create an endoscopic dataset collected from various sources and annotate the ground truth of polyp location and classification results with the help of experienced gastroenterologists. The dataset can serve as a benchmark platform to train and evaluate the machine learning models for polyp classification. We have also compared the performance of eight state-of-the-art deep learning-based object detection models. The results demonstrate that deep CNN models are promising in CRC screening. This work can serve as a baseline for future research in polyp detection and classification.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). Builds on 41 of its 83 references that are in the map. First posted on arXiv 22 Apr 2021.

Builds on

41 of 83 references.

References · 41

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 5; 2023: 9; 2024: 8; 2025: 7; 2026: 6.

38 papers.

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  1. 2022Video Polyp Segmentation: A Deep Learning Perspectivecited by 81
  2. 2023Federated Learning for Medical Image Analysis: A Surveycited by 77
  3. 2023Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-traincited by 75
  4. 2021Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentationcited by 33
  5. 2023Self-Supervised Learning for Endoscopic Video Analysiscited by 22
  6. 2023GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detectioncited by 20
  7. 2024REAL-Colon: A dataset for developing real-world AI applications in colonoscopycited by 20
  8. 2025LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settingscited by 19
  9. 2024Frontiers in Intelligent Colonoscopycited by 13
  10. 2021An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Trainingcited by 10
  11. 2022Aggregating Global Features into Local Vision Transformercited by 10
  12. 2022BlazeNeo: Blazing fast polyp segmentation and neoplasm detectioncited by 10
26 more
  1. 2021A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translationcited by 8
  2. 2025Agentic AI framework for End-to-End Medical Data Inferencecited by 8
  3. 2022GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classificationcited by 7
  4. 2022Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUscited by 6
  5. 2023On the Real-Time Semantic Segmentation of Aphid Clusters in the Wildcited by 6
  6. 2023Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Modelscited by 4
  7. 2023A New Dataset and Comparative Study for Aphid Cluster Detectioncited by 3
  8. 2024A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fieldscited by 3
  9. 2025PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysiscited by 3
  10. 2023Gender, Smoking History and Age Prediction from Laryngeal Imagescited by 2
  11. 2023IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchorscited by 2
  12. 2024Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimationcited by 2
  13. 2024Multi-Layer Dense Attention Decoder for Polyp Segmentationcited by 2
  14. 2025VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generationcited by 2
  15. 2025One VLM, Two Roles: Stage-Wise Routing and Specialty-Level Deployment for Clinical Workflowscited by 2
  16. 2024Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniquescited by 1
  17. 2024Deep Learning for Improved Polyp Detection from Synthetic Narrow-Band Imagingcited by 1
  18. 2024Medical Imaging Complexity and its Effects on GAN Performancecited by 1
  19. 2025White Light Specular Reflection Data Augmentation for Deep Learning Polyp Detectioncited by 1
  20. 2025Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopycited by 1
  21. 2026Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopycited by 1
  22. 2026Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videoscited by 1
  23. 2026Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysiscited by 0
  24. 2026Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videoscited by 0
  25. 2026TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detectioncited by 0
  26. 2026woma: a real-time foundation model and its fine-tuned models for endoscopycited by 0