Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1617002(2022)

Breast Mass Segmentation Based on U-Net++ and Adversarial Learning Network

Yuanzhi Xie1, Shiju Yan1、*, Gaofeng Wei2, and Linying Yang1
Author Affiliations
  • 1School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2Institute of Tropical Medicine, Naval Medical University, Shanghai 200025, China
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    References(23)

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    [19] Zhang Q, Ye B, Luo S Q et al. Aluminum plate defect image segmentation using improved generative adversarial networks for eddy current detection[J]. Laser & Optoelectronics Progress, 58, 0815002(2021).

    [21] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift[C], 448-456(2015).

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    Yuanzhi Xie, Shiju Yan, Gaofeng Wei, Linying Yang. Breast Mass Segmentation Based on U-Net++ and Adversarial Learning Network[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1617002

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Aug. 13, 2021

    Accepted: Aug. 30, 2021

    Published Online: Jul. 26, 2022

    The Author Email: Shiju Yan (yanshiju@usst.edu.cn)

    DOI:10.3788/LOP202259.1617002

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