Hip segmentation in CT
About
Creators:
Contact email:
Version:
b306156b-67b7-419d-b40a-d098ea705244
Last updated:
Jan. 25, 2022, 12:52 p.m.
Inputs:
- CT Image (Any CT image)
Outputs:
- Results JSON File (A collection of results of unknown type. Legacy, if possible please use alternative interfaces.)
- Pelvis (0 = background, 1 = right hip bone, 2 = left hip bone)
Model Facts
Summary
This algorithm uses convolutional neural networks to segment and label the right and left hip bone in CT scans.
Mechanism
Left empty by the Algorithm Editors
Validation and Performance
Left empty by the Algorithm Editors
Uses and Directions
This algorithm was developed for research purposes only.
Warnings
Left empty by the Algorithm Editors
Common Error Messages
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Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3