Open Science
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Semantic Segmentation
Here we share models developed for automated semantic segmentation applied to HR-pQCT, clinical CT, MRI and more…
HR-pQCT Radius/Tibia Segmentation
This model will automatically segment the distal radius and distal tibia scans measured by HR-pQCT and provide masks for the cortical and trabecular compartments.
HR-pQCT Knee Segmentation
This model will automatically segment the proximal tibia and distal femur of the knee measured by HR-pQCT and provide ROIs for subsequent analysis.
MRI BML Segmentation
This model extracts bone marrow lesions (BMLs) from knee MRI scans.
Opportunistic CT to FEA for Standardization
A pipeline that extracts vertebra, calibrates the CT for performing linear and non-linear FEA.