This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
A Polyp Segmentation Algorithm Based on Local Enhancement and Attention Mechanism
by
Lanxi Fan
Lanxi Fan * and
Yu Jiang
Yu Jiang
College of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China
*
Author to whom correspondence should be addressed.
Mathematics 2025, 13(12), 1925; https://doi.org/10.3390/math13121925 (registering DOI)
Submission received: 19 May 2025
/
Revised: 1 June 2025
/
Accepted: 6 June 2025
/
Published: 9 June 2025
Abstract
Accurate polyp segmentation plays a vital role in the early detection and prevention of colorectal cancer. However, the diverse shapes, blurred boundaries, and varying sizes of polyps present significant challenges for automatic segmentation. Existing methods often struggle with effective local feature extraction and modeling long-range dependencies. To overcome these limitations, this paper proposes PolypFormer, which incorporates a local information enhancement module (LIEM) utilizing multi-kernel self-selective attention to better capture texture features, alongside dense channel attention to facilitate more effective feature fusion. Furthermore, a novel cross-shaped windows self-attention mechanism is introduced and integrated into the Transformer architecture to enhance the semantic understanding of polyp regions. Experimental results on five datasets show that the proposed method has good performance in polyp segmentation. On Kvasir-SEG datasets, mDice and mIoU reach 0.920 and 0.886, respectively.
Share and Cite
MDPI and ACS Style
Fan, L.; Jiang, Y.
A Polyp Segmentation Algorithm Based on Local Enhancement and Attention Mechanism. Mathematics 2025, 13, 1925.
https://doi.org/10.3390/math13121925
AMA Style
Fan L, Jiang Y.
A Polyp Segmentation Algorithm Based on Local Enhancement and Attention Mechanism. Mathematics. 2025; 13(12):1925.
https://doi.org/10.3390/math13121925
Chicago/Turabian Style
Fan, Lanxi, and Yu Jiang.
2025. "A Polyp Segmentation Algorithm Based on Local Enhancement and Attention Mechanism" Mathematics 13, no. 12: 1925.
https://doi.org/10.3390/math13121925
APA Style
Fan, L., & Jiang, Y.
(2025). A Polyp Segmentation Algorithm Based on Local Enhancement and Attention Mechanism. Mathematics, 13(12), 1925.
https://doi.org/10.3390/math13121925
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details
here.
Article Metrics
Article Access Statistics
For more information on the journal statistics, click
here.
Multiple requests from the same IP address are counted as one view.