Laser & Optoelectronics Progress, Volume. 56, Issue 6, 061005(2019)

Nanoparticle Segmentation Based on U-Net Convolutional Neural Network

Fang Zhang1,2, Yue Wu1, Zhitao Xiao1,2、*, Lei Geng1,2, Jun Wu1,2, Yanbei Liu1,2, and Wen Wang1,2
Author Affiliations
  • 1 School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China
  • 2 Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin 300387, China
  • show less
    References(17)

    [3] Fang J X. Study based on the variational level set methods for image segmentation[D]. Shanghai: Shanghai Jiao Tong University, 20-28(2012).

    [4] Liu X B. The study on the segmentation of circle-like particle images[D]. Changsha: Hunan University(2006).

    [12] Bansal A, Chen X L, Russell B, by the pixels, for the pixels[EB/OL] et al. -02-27)[2018-11-23]. https:∥arxiv., org/abs/1702, 06506(2017).

    [13] Ronneberger O, Fischer P, Brox T. U-Net: Convolutional networks for biomedical image segmentation. [C]∥International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015), October 5-9, Munich, Germany. Switzerland: Springer, 234-241(2015).

    Tools

    Get Citation

    Copy Citation Text

    Fang Zhang, Yue Wu, Zhitao Xiao, Lei Geng, Jun Wu, Yanbei Liu, Wen Wang. Nanoparticle Segmentation Based on U-Net Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061005

    Download Citation

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

    Category: Image Processing

    Received: Sep. 18, 2018

    Accepted: Oct. 17, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Xiao Zhitao (xiaozhitao@tjpu.edu.cn)

    DOI:10.3788/LOP56.061005

    Topics