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Particle method for segmentation of breast tumors in ultrasound images

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  • Karunanayake, N.
  • Aimmanee, P.
  • Lohitvisate, W.
  • Makhanov, S.S.

Abstract

We propose a new segmentation method based on multiple walking particles (WP) bouncing from the image edges. The particles are able to segment objects characterized by deep concavities as narrow as one pixel and handle single or multiple objects characterized by a noisy background and broken boundaries (“weak edge”, “boundary leakage”). The particles are designed to segment the image by permanently staying inside the object and repairing the boundaries where necessary. The proposed WP combine the advantages of the continuous diffusion models with the principles of multi-agent systems.

Suggested Citation

  • Karunanayake, N. & Aimmanee, P. & Lohitvisate, W. & Makhanov, S.S., 2020. "Particle method for segmentation of breast tumors in ultrasound images," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 257-284.
    • Handle: RePEc:eee:matcom:v:170:y:2020:i:c:p:257-284
    DOI: 10.1016/j.matcom.2019.10.009
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    1. Eric A. Cator & Sergio I. López & Leandro P. R. Pimentel, 2019. "Attractiveness of Brownian queues in tandem," Queueing Systems: Theory and Applications, Springer, vol. 92(1), pages 25-45, June.
    2. Xingsi Xue & Zhi Hang & Zhengyi Tang, 2019. "Interactive biomedical ontology matching," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-13, April.
    3. Han, Congying & Zhang, Baozhong & Chen, He & Wei, Zheng & Liu, Yu, 2019. "Spatially distributed crop model based on remote sensing," Agricultural Water Management, Elsevier, vol. 218(C), pages 165-173.
    4. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
    5. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    6. Jiang, Xuejun & Fu, Yingzi & Jiang, Jiancheng & Li, Jingzhi, 2019. "Spatial distribution of the earthquake in Mainland China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 530(C).
    7. ., 2019. "Spatial impacts of high speed rail on land value change," Chapters, in: High Speed Rail and China’s New Economic Geography, chapter 2, pages 39-79, Edward Elgar Publishing.
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    Cited by:

    1. Cuevas, Erik & Becerra, Héctor & Luque, Alberto, 2021. "Anisotropic diffusion filtering through multi-objective optimization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 410-429.
    2. Kumar, Ankit & Majee, Sudeb & Jain, Subit K., 2023. "CDM: A coupled deformable model for image segmentation with speckle noise and severe intensity inhomogeneity," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).

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