Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 9, 1190(2022)

Red blood cell image segmentation based on NODE-UNet++ and marker watershed

Ya-qi RONG1,2, Li-juan ZHANG2, Jin-li CUI3, Wei SU4, and Meng-ye GAI1、*
Author Affiliations
  • 1School of Information Technology, Jilin Agricultural University, Changchun 130118, China
  • 2School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • 3Department of Radiology, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, China
  • 4College of Medicine Information, Changchun University of Chinese Medicine,Changchun 130117, China
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    References(27)

    [2] BOYKOV Y Y, JOLLY M P. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images[C], 105-112(2001).

    [13] WEI X D, CAO Y P. Automatic counting method for complex overlapping erythrocytes based on seed prediction in microscopic imaging[J]. Journal of Innovative Optical Health Sciences, 9, 1650016(2016).

    [21] CHEN R T Q, RUBANOVA Y, BETTENCOURT J et al. Neural ordinary differential equations[C], 6572-6583(2018).

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    Ya-qi RONG, Li-juan ZHANG, Jin-li CUI, Wei SU, Meng-ye GAI. Red blood cell image segmentation based on NODE-UNet++ and marker watershed[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(9): 1190

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    Paper Information

    Category: Research Articles

    Received: Jan. 15, 2022

    Accepted: --

    Published Online: Sep. 14, 2022

    The Author Email: Meng-ye GAI (mengyeg@jlau.edu.cn)

    DOI:10.37188/CJLCD.2022-0009

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