• Optics and Precision Engineering
  • Vol. 32, Issue 18, 2836 (2024)
Ao CHENG1, Guoqiang ZHAO2, Ruobing ZHANG2, and Lirong WANG1,*
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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    DOI: 10.37188/OPE.20243218.2836 Cite this Article
    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 Copy Citation Text show less
    Illustration of EM-SAM.
    Fig. 1. Illustration of EM-SAM.
    Experimental results of SNEMI3D dataset
    Fig. 2. Experimental results of SNEMI3D dataset
    Experimental results of MitoEM-R dataset
    Fig. 3. Experimental results of MitoEM-R dataset
    Ablation study of SNEMI3D dataset
    Fig. 4. Ablation study of SNEMI3D dataset
    方法A-Rand
    U-Net0.085
    ViT-B0.058
    EM-SAM0.054
    Table 1. Segmentation results of SNEMI3D
    方法AP-50AP-75
    U-Net0.6610.417
    ViT-B0.5490.174
    EM-SAM0.8830.604
    Table 2. Segmentation Results of MitoEm-R
    方法A-Rand
    Random initial EM-SAM0.076
    EM-SAM0.054
    Table 3. Ablation study result of SNEMI3D
    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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