Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 12, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

PAC-P2T: pyramid atrous convolution with pyramid pooling Transformer for polyp segmentation.

Keli Hu1,2,3,4, Chen Wang2, Hancan Zhu2

  • 1Department of Gastroenterology, Cancer Center, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China.

Quantitative Imaging in Medicine and Surgery
|July 11, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Automatic Aesthetics Evaluation of Robotic Dance Poses Based on Hierarchical Processing Network.

Computational intelligence and neuroscience·2022
Same author

[Hemodynamic effects of synchronous and asynchronous independent lung ventilation with different levels of positive end-expiratory pressure and tidal volumes on unilateral lung injury in dogs].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2010
Same author

[Study on the immuno-effects and influencing factors of Chinese hamster ovary (CHO) cell hepatitis B vaccine among adults, under different dosages].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2010
Same author

Assemblies of fluorine containing bent-shaped liquid crystal molecules studied by using scanning tunneling microscopy.

Journal of nanoscience and nanotechnology·2010
Same author

Carbon nanotubes induce secondary structure changes of bovine albumin in aqueous phase.

Journal of nanoscience and nanotechnology·2010
Same author

[Immunogenicity and protective efficacy of pertactin recombinants against Bordetella bronchiseptica challenge].

Wei sheng wu xue bao = Acta microbiologica Sinica·2010

This study introduces PAC-P2T, a novel method for polyp segmentation in colonoscopy images. It significantly improves polyp detection accuracy, aiding in clinical diagnosis and treatment.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Artificial Intelligence

Background:

  • Colonoscopy is essential for gastrointestinal investigation.
  • Accurate polyp localization is critical for screening and treatment.
  • Existing methods struggle with polyp segmentation challenges like variable shapes and blurred edges.

Purpose of the Study:

  • To develop an advanced polyp segmentation method for clinical applications.
  • To combine pyramid pooling and atrous convolution for enhanced accuracy.
  • To address limitations of current Convolutional Neural Networks (CNNs) and Transformer-based approaches.

Main Methods:

  • Proposed PAC-P2T model integrating pyramid pooling Transformer (P2T) and pyramid atrous convolution (PAC).
  • Utilized P2T for powerful contextual feature extraction.
Keywords:
Colorectal polypatrous convolutionpolyp segmentationpyramid pooling

Related Experiment Videos

Last Updated: Jul 12, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

  • Introduced multi-layer PAC feature extraction module (MPAF) with channel attention for decoder enhancement.
  • Integrated single-level atrous convolution feature fusion module (SLAF) for hierarchical feature propagation.

    • Main Results:

    • PAC-P2T demonstrated superior performance on five public colorectal polyp segmentation datasets.
    • Outperformed several state-of-the-art polyp extraction networks.
    • Achieved significant improvements in mean Dice coefficient/mean intersection over union (mDice/mIoU) compared to PraNet.

    Conclusions:

    • The proposed PAC-P2T effectively enhances polyp region extraction robustness.
    • Integration of atrous convolution and pyramid pooling provides strong support for computer-aided polyp segmentation.
    • The method shows promise for improving clinical applications of colonoscopy screening.