Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0417001(2024)

Lateral Spine Landmark Detection Based on Matching Clue Regression

Menghao Gao1, Lijun Guo1、*, Rong Zhang1, Lixin Ni2,3, Qiang Wang4, and Xiuchao He4
Author Affiliations
  • 1Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, Zhejiang, China
  • 2School of Medicine, Ningbo University, Ningbo 315211, Zhejiang, China
  • 3Haishu District Second Hospital of Ningbo, Ningbo 315099, Zhejiang, China
  • 4The First Affiliated Hospital of Ningbo University, Ningbo 315000, Zhejiang, China
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    Figures & Tables(11)
    Proposed lateral spine landmark detection method framework
    GFA module
    Lateral spine X-rays dataset
    Comparison results between other single-stage methods and proposed method. (a) Input image; (b) results by Zhang et al.[13] proposed method; (c) results by Ao et al.[11] proposed method; (d) results by Yi et al.[9] proposed method; (e) results by our method
    Ablation experiment results. (a) Baseline; (b) with weighted loss; (c) with weighted loss and GFA module
    • Table 1. Comparative experiment results between two-stage methods and the proposed method

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      Table 1. Comparative experiment results between two-stage methods and the proposed method

      MethodEdecScaled MAEMSE
      Khanal et al.4 proposed method17.760.0074070.000235
      Chen et al.6 proposed method23.360.0075800.000472
      Zhang et al.5 proposed method11.010.0041870.000122
      Ours7.140.0033860.000060
    • Table 2. Comparative experiment results between one-stage methods and the proposed method

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      Table 2. Comparative experiment results between one-stage methods and the proposed method

      MethodEdecScaled MAEMSE
      Yi et al.9 proposed method13.890.0059650.000321
      Zhang et al.13 proposed method23.830.0096930.001639
      Ao et al.11 proposed method48.840.0185960.025107
      Ours8.840.0041470.000111
    • Table 3. Comparison results of SMAPE between the proposed method with other advanced methods in TK and LL estimation

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      Table 3. Comparison results of SMAPE between the proposed method with other advanced methods in TK and LL estimation

      Method typeMethodTK /%LL /%
      Two-stageKhanal et al.4proposed method37.2236.32
      Chen et al.6proposed method22.7919.45
      Zhang et al.5proposed method12.8310.53
      One-stageYi et al.9proposed method8.425.91
      Zhang et al.13proposed method8.635.55
      Ao et al.11proposed method17.539.49
      Ours8.403.62
    • Table 4. Ablation experiment results of the proposed method

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      Table 4. Ablation experiment results of the proposed method

      BaselineWeighted lossGFACenterCenter+offsetLandmark
      9.6314.0311.75
      8.2812.6510.86
      6.4510.739.60
      6.2110.128.84
    • Table 5. Comparison results between proposed GFA module with deformable convolution

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      Table 5. Comparison results between proposed GFA module with deformable convolution

      MethodCenterCenter+offsetLandmark
      DCN8.5612.1210.68
      GFA6.4510.739.60
    • Table 6. Validity of landmark matching method

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      Table 6. Validity of landmark matching method

      MethodLandmark
      w/o matching clue12.20
      w/ matching clue8.84
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    Menghao Gao, Lijun Guo, Rong Zhang, Lixin Ni, Qiang Wang, Xiuchao He. Lateral Spine Landmark Detection Based on Matching Clue Regression[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0417001

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Apr. 25, 2023

    Accepted: May. 29, 2023

    Published Online: Feb. 26, 2024

    The Author Email: Lijun Guo (guolijun@nbu.edu.cn)

    DOI:10.3788/LOP231172

    CSTR:32186.14.LOP231172

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