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Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221003(2020)

Improved U-Net Based on Mixed Loss Function for Liver Medical Image Segmentation

Yongjia Huang1, Zaifeng Shi1,2、*, Zhongqi Wang1, and Zhe Wang1
Author Affiliations
  • 1School of Microelectronics, Tianjin University, Tianjin 300072, China
  • 2Tianjin Key Laboratory of Microelectronic Technology for Imaging and Sensing, Tianjin 300072, China
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    Article index updated: Sep. 12, 2025

    The article is cited by 7 article(s) CLP online library. (Some content might be in Chinese.)
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    Yongjia Huang, Zaifeng Shi, Zhongqi Wang, Zhe Wang. Improved U-Net Based on Mixed Loss Function for Liver Medical Image Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221003

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    Paper Information

    Category: Image Processing

    Received: Feb. 21, 2020

    Accepted: Mar. 27, 2020

    Published Online: Nov. 5, 2020

    The Author Email: Zaifeng Shi (shizaifeng@tju.edu.cn)

    DOI:10.3788/LOP57.221003

    Topics

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