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Article

A Polyp Segmentation Algorithm Based on Local Enhancement and Attention Mechanism

College of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China
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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
(This article belongs to the Special Issue Symmetries of Integrable Systems, 2nd Edition)

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.
Keywords: polyp segmentation; local information enhancement; cross-shaped windows self-attention; medical image segmentation; deep learning polyp segmentation; local information enhancement; cross-shaped windows self-attention; medical image segmentation; deep learning

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

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