mlsanityData to 7 Oct 2026

Automated polyp detection in colon capsule endoscopy

arXiv 1305.1912 ↗First posted 8 May 2013cs.CVcited by 30

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Abstract (arXiv)

Colorectal polyps are important precursors to colon cancer, a major health problem. Colon capsule endoscopy (CCE) is a safe and minimally invasive examination procedure, in which the images of the intestine are obtained via digital cameras on board of a small capsule ingested by a patient. The video sequence is then analyzed for the presence of polyps. We propose an algorithm that relieves the labor of a human operator analyzing the frames in the video sequence. The algorithm acts as a binary classifier, which labels the frame as either containing polyps or not, based on the geometrical analysis and the texture content of the frame. The geometrical analysis is based on a segmentation of an image with the help of a mid-pass filter. The features extracted by the segmentation procedure are classified according to an assumption that the polyps are characterized as protrusions that are mostly round in shape. Thus, we use a best fit ball radius as a decision parameter of a binary classifier. We present a statistical study of the performance of our approach on a data set containing over 18,900 frames from the endoscopic video sequences of five adult patients. The algorithm demonstrates a solid performance, achieving 47% sensitivity per frame and over 81% sensitivity per polyp at a specificity level of 90%. On average, with a video sequence length of 3747 frames, only 367 false positive frames need to be inspected by a human operator.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 May 2013.

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Citing papers per year: 2021: 11; 2022: 4; 2023: 5; 2024: 4; 2025: 6.

30 papers.

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  1. 2021Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformerscited by 159
  2. 2021Shallow Attention Network for Polyp Segmentationcited by 107
  3. 2022Video Polyp Segmentation: A Deep Learning Perspectivecited by 81
  4. 2021Progressively Normalized Self-Attention Network for Video Polyp Segmentationcited by 75
  5. 2021HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPScited by 71
  6. 2023Lesion-aware Dynamic Kernel for Polyp Segmentationcited by 39
  7. 2021Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentationcited by 33
  8. 2022Camouflaged Object Detection via Context-aware Cross-level Fusioncited by 32
  9. 2021Duplex Contextual Relation Network for Polyp Segmentationcited by 22
  10. 2023Edge-aware Feature Aggregation Network for Polyp Segmentationcited by 4
  11. 2021Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Videocited by 3
  12. 2024MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformercited by 3
18 more
  1. 2023Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusioncited by 2
  2. 2023Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesionscited by 2
  3. 2024Multi-Layer Dense Attention Decoder for Polyp Segmentationcited by 2
  4. 2025PolypFlow: Reinforcing Polyp Segmentation with Flow-Driven Dynamicscited by 2
  5. 2025Federated Foundation Model for GI Endoscopy Imagescited by 2
  6. 2025Enhancing Polyp Segmentation via Encoder Attention and Dynamic Kernel Updatecited by 2
  7. 2025Assisted Refinement Network Based on Channel Information Interaction for Camouflaged and Salient Object Detectioncited by 2
  8. 2021Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videoscited by 1
  9. 2021Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videoscited by 1
  10. 2022Colonoscopy Landmark Detection using Vision Transformerscited by 1
  11. 2024SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentationcited by 1
  12. 2021Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Studycited by 0
  13. 2021Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videoscited by 0
  14. 2022Rethinking the transfer learning for FCN based polyp segmentation in colonoscopycited by 0
  15. 2023FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependenciescited by 0
  16. 2024Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Modelcited by 0
  17. 2025Hybrid(Transformer+CNN)-based Polyp Segmentationcited by 0
  18. 2025PVTAdpNet: Polyp Segmentation using Pyramid vision transformer with a novel Adapter blockcited by 0