Bone Imaging Laboratory University of Calgary

Open Science

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We are actively building this page and plan to include additional resources in the future.

Semantic Segmentation

Here we share models developed for automated semantic segmentation applied to HR-pQCT, clinical CT, MRI and more…

HR-pQCT Knee Segmentation

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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

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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

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This model extracts bone marrow lesions (BMLs) from knee MRI scans.