Brainsmm
1 paper2 findings
- In silico1
Outcomes
2Anatomical region segmentation accuracy
upin silico1+86% average dsc
1 study
Anatomical region segmentation accuracy
upin silico1+86% average dsc
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
Brain tissue segmentation accuracy
upin silico1+95% average dsc
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
Latest
IEEE Transactions on Medical Imaging
BrainSMM: Lifespan Brain Segmentation Model With Metadata-Driven Prompt Learning
Computational studyDeep learning