Automatic Vertebrae Segmentation and Prediction of Secondary Fractures with Machine Learning Using Biomechanical Features and Radiomics
Published in International Conference on Machine Learning and Cybernetics, 2024
Recommended citation: Yu-Hsuan Yu, Po-Kai Su, Pei-Rong Jiang, Meng-Lei Su, Jiann-Her Lin, Hsiao-Chi Li. (2024). "Automatic Vertebrae Segmentation and Prediction of Secondary Fractures with Machine Learning Using Biomechanical Features and Radiomics." International Conference on Machine Learning and Cybernetics.
This paper proposes a machine learning pipeline for automatic vertebrae segmentation and prediction of secondary fractures using a combination of biomechanical features and radiomics. The approach integrates structural and textural information to improve predictive accuracy in osteoporotic vertebral compression fracture patients.