Published January 28, 2025 | Version v1
Model Open

Automatic segmentation of trabecular and cortical compartments in HR-pQCT images using an embedding-predicting U-Net and morphological post-processing

Description

Model weights associated with the work published as cited here:

Neeteson NJ, Besler BA, Whittier DE, Boyd SK, 2023. Automatic segmentation of trabecular and cortical compartments in HR-pQCT images using an embedding-predicting U-Net and morphological post-processing. Sci Rep 13, 252.

https://www.ncbi.nlm.nih.gov/pubmed/36604534

Please visit the Bone Imaging Laboratory to learn more: https://bonelab.ca

Source code is available here: https://github.com/Bonelab/HR-pQCT-Segmentation

Files

README.txt

Files (7.8 MB)

Name Size Download all
md5:1ebbd3e34237af26da5dc08a4e440464
35.1 kB Download
md5:bfe13cc43fc3ea3b5b020c88aeed6a17
7.7 MB Download
md5:22c0a66e145817f39fb7ed53896d8a72
900 Bytes Download
md5:915c7360f3a62605aa76c8195d593bef
370 Bytes Preview Download

Additional details

Software

Repository URL
https://github.com/Bonelab/HR-pQCT-Segmentation
Programming language
Python
Development Status
Active