Acta Optica Sinica, Volume. 41, Issue 15, 1511001(2021)

Deep Learning-Based Detection Method for Mitosis in Living Cells

Baosheng Ke1,2,3, Ying Li1,2,3, Zhenbo Ren1,2,3, Jianglei Di1,2,3、*, and Jianlin Zhao1,2,3、**
Author Affiliations
  • 1School of Physical Science and Technology, Northwestern Polytechnical University, Xi′an, Shaanxi 710129, China
  • 2Shaanxi Key Laboratory of Optical Information Technology, Xi′an, Shaanxi 710129, China
  • 3Key Laboratory of Material Physics and Chemistry Under Extraordinary Conditions, Ministry of Education, Xi′an, Shaanxi 710129, China
  • show less
    Figures & Tables(12)
    Optical path structure of an inverted bright field biological microscope
    Some images with different size from OFC dataset
    Cells of different classifications. (a) Class ‘without_division’; (b) class ‘with_division’
    Network architecture of DetectNet
    Convolutional module
    Residual block
    CSP module
    Attention module
    Learning rate and loss curves. (a) Learning rate; (b) loss
    Visualization of cell detection results
    P-R curves of cell detection results under different IoU thresholds. (a) Class ‘with_division’; (b) class ‘without_division’
    • Table 1. Performance of different models with IoU threshold of 0.5

      View table

      Table 1. Performance of different models with IoU threshold of 0.5

      MethodBackboneDatasetmAPProcessing time /sFPS
      Faster-rcnnResNet50OFC0.336518.6
      SSD300VGG16OFC0.754615.5
      Faster-rcnn(pretrained)ResNet50OFC0.916518.6
      YOLOv3Darknet53OFC0.93.43327.09
      DetectNetCustom BackboneOFC0.9952.24441.44
    Tools

    Get Citation

    Copy Citation Text

    Baosheng Ke, Ying Li, Zhenbo Ren, Jianglei Di, Jianlin Zhao. Deep Learning-Based Detection Method for Mitosis in Living Cells[J]. Acta Optica Sinica, 2021, 41(15): 1511001

    Download Citation

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

    Category: Imaging Systems

    Received: Dec. 9, 2020

    Accepted: Mar. 5, 2021

    Published Online: Aug. 11, 2021

    The Author Email: Di Jianglei (jiangleidi@nwpu.edu.cn), Zhao Jianlin (jlzhao@nwpu.edu.cn)

    DOI:10.3788/AOS202141.1511001

    Topics