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Found 5 papers, 1 papers with code
Improved distinct bone segmentation in upper-body CT through multi-resolution networks
The approach thus improves the accuracy and efficiency of distinct bone segmentation from upper-body CT.
The secret role of undesired physical effects in accurate shape sensing with eccentric FBGs
These findings imply that deep learning techniques benefit from the bending-induced effects that impact the desired signal in a complex manner.
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images
Results: Our methods are evaluated on an in-house dataset of 16 upper-body CT scans with a resolution of \SI{2}{\milli\meter} per dimension.
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Segmentation of distinct bones plays a crucial role in diagnosis, planning, navigation, and the assessment of bone metastasis.
Machine learning-based method for linearization and error compensation of an absolute rotary encoder
We used these training data to test, characterize, and compare several machine learning algorithms for the classification and the regression.
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