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Ogo - A library of tools for opportunistic CT, including internal calibration, segmentation, image manipulation and quantitative analysis.
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148
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Clarify description of pretrained nnU-Net model for vertebral body segmentation in README
2148193View on GitHubFix histogram function to use correct parameter names for numpy.histogram
b129cafView on GitHubMerge pull request #48 from Bonelab/Kean/check-labels-cli
a72699eView on GitHubAdded --incliude-description flag to display label description
1766612View on GitHubMerge pull request #47 from Bonelab/Kean/check-labels-cli
320aa7fView on GitHubUpdated outputs to use ogo.Helper to make it consistent with other CLI tools
e4c81f8View on GitHubMerge pull request #45 from Bonelab/Kean/patch-opencv-version
3c671c3View on GitHubPin opencv<4.12 to avoid incompatibility with Bonelab
f990c53View on GitHub