Optics and Precision Engineering, Volume. 32, Issue 18, 2836(2024)

Instance segmentation of mouse brain scanning electron microscopy images based on fine-tuning nature image model

Ao CHENG1... Guoqiang ZHAO2, Ruobing ZHANG2 and Lirong WANG1,* |Show fewer author(s)
Author Affiliations
  • 1Soochow University, School of Electronic and information, Suzhou25000, China
  • 2Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou15000, China
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    Figures & Tables(7)
    Illustration of EM-SAM.
    Experimental results of SNEMI3D dataset
    Experimental results of MitoEM-R dataset
    Ablation study of SNEMI3D dataset
    • Table 1. Segmentation results of SNEMI3D

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      Table 1. Segmentation results of SNEMI3D

      方法A-Rand
      U-Net0.085
      ViT-B0.058
      EM-SAM0.054
    • Table 2. Segmentation Results of MitoEm-R

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      Table 2. Segmentation Results of MitoEm-R

      方法AP-50AP-75
      U-Net0.6610.417
      ViT-B0.5490.174
      EM-SAM0.8830.604
    • Table 3. Ablation study result of SNEMI3D

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      Table 3. Ablation study result of SNEMI3D

      方法A-Rand
      Random initial EM-SAM0.076
      EM-SAM0.054
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    Ao CHENG, Guoqiang ZHAO, Ruobing ZHANG, Lirong WANG. Instance segmentation of mouse brain scanning electron microscopy images based on fine-tuning nature image model[J]. Optics and Precision Engineering, 2024, 32(18): 2836

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    Paper Information

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    Received: Jun. 15, 2024

    Accepted: --

    Published Online: Nov. 18, 2024

    The Author Email: WANG Lirong (wanglirong@suda.edu.cn)

    DOI:10.37188/OPE.20243218.2836

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