Random Forest-Based Prediction of Bone Volume Fraction and Fracture Position from S-Parameters
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Abstract (arXiv)
In this paper, we propose a method for predicting bone volume fraction (BVF) and fracture position by constructing a random forest model based on multichannel S-parameters. A nine-antenna microwave scanning system is designed and fabricated to acquire the multichannel S-parameter data. Bone-mimicking phantoms are developed, and corresponding experiments are conducted to validate the effectiveness of the proposed approach. Both synthetic and experimental results demonstrate the validity of the method.
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- 2020Medical Image Segmentation Using Deep Learning: A Surveycited by 164
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