Brainsmm

Intervention

1 paper2 findings

  • In silico1

Outcomes

2

Anatomical region segmentation accuracy

upin silico1+86% average dsc

1 study
  1. Brainsmm improves anatomical region segmentation accuracy in silico (86.34% average DSC).

    “and 86.34% for anatomical region segmentation (e.g., hippocampus, putamen, etc.) with corresponding average ASD of 0.20 mm and 0.75 mm, respectively.”

    In silicobrain

    BrainSMM: Lifespan Brain Segmentation Model With Metadata-Driven Prompt Learning

    IEEE transactions on medical imaging1 Oct 2025

Brain tissue segmentation accuracy

upin silico1+95% average dsc

1 study
  1. Brainsmm improves brain tissue segmentation accuracy in silico (94.59% average DSC).

    “Our approach achieves an average DSC of 94.59% for tissue segmentation (i.e., gray matter, white matter, and cerebrospinal fluid)”

    In silicobrain

    BrainSMM: Lifespan Brain Segmentation Model With Metadata-Driven Prompt Learning

    IEEE transactions on medical imaging1 Oct 2025

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