Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 62, Issue 14, 1417002(2025)

Medical Image Segmentation Method Combining a Pyramid Vision Transformer and a Kolmogorov-Arnold Network

Zhongan Huang1, Xinyu Li2, Qiaohong Liu3, min Lin4、**, and Huayuan Yang1、*
Author Affiliations
  • 1School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • 2School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 3College of Medical Instruments, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
  • 4Shanghai Tongji Hospital, Shanghai 200065, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (17)
    References (24)
    Tools
    Paper Information
    Topics
    Figures & Tables(9)
    PVT-KANet model network structure

    Fig. 1. PVT-KANet model network structure

    Download full size
    Structure of MSCA Tok-KAN

    Fig. 2. Structure of MSCA Tok-KAN

    Download full size
    KAN layer structure

    Fig. 3. KAN layer structure

    Download full size
    MSCA block

    Fig. 4. MSCA block

    Download full size
    Inception depthwise convolutional decoder block

    Fig. 5. Inception depthwise convolutional decoder block

    Download full size
    Comparison of segmentation results of different models on three datasets

    Fig. 6. Comparison of segmentation results of different models on three datasets

    Download full size
    Qualitative analysis results in complex scenarios

    Fig. 7. Qualitative analysis results in complex scenarios

    Download full size

    • Table 1. Comparison results of different models on three datasets

      View table

      Table 1. Comparison results of different models on three datasets

      MethodYearParams /106CVC-ClinicDBBUSIGlaS
      IoUF1IoUF1IoUF1
      U-Net201531.03883.7991.0657.2271.9186.6692.79
      U-Net++201836.63084.6191.5357.4172.1187.0792.96
      U-NeXt20191.47274.8385.3659.0673.0884.5191.55
      Rooling-UNet202428.32182.8790.4861.0074.6786.4292.63
      U-Mamba2024173.53084.7991.6361.8175.5587.0193.02
      U-KAN20249.38585.0591.8863.3876.4087.6493.37
      Proposed method40.44689.7194.5565.0278.4888.2193.73

    • Table 2. The ablation experimental results of the proposed model on three datasets

      View table

      Table 2. The ablation experimental results of the proposed model on three datasets

      ModelCVC-ClinicDBBUSIGlaS
      BaselinePVTMSCAIDCDIoUF1IoUF1IoUF1
      √85.5592.1262.9176.5685.4792.15
      √√88.7293.9963.6477.4987.8293.50
      √√√87.2993.1763.7377.4586.4892.36
      √√√√89.7194.5565.0278.4888.2193.73
    Tools

    Get Citation

    Copy Citation Text

    Zhongan Huang, Xinyu Li, Qiaohong Liu, min Lin, Huayuan Yang. Medical Image Segmentation Method Combining a Pyramid Vision Transformer and a Kolmogorov-Arnold Network[J]. Laser & Optoelectronics Progress, 2025, 62(14): 1417002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Dec. 11, 2024

    Accepted: Feb. 7, 2025

    Published Online: Jul. 16, 2025

    The Author Email: min Lin (linm_doc@163.com), Huayuan Yang (yhyabcd@sina.com)

    DOI:10.3788/LOP242398

    CSTR:32186.14.LOP242398

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology