Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs

ConclusionsIn this study, an automatic approach for grading hip OA severity from CT images was developed. The models have shown comparable performance with high ONCA, which facilitates automated grading in large-scale CT databases and indicates the potential for further disease progression analysis. Classification accuracy was correlated with the model uncertainty, which would allow for the prediction of classification errors. The code will be made publicly available athttps://github.com/NAIST-ICB/HipOA-Grading.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research