Osteoporosis Diagnostic Model Using a Multichannel Convolutional Neural Network Based on Quantitative Ultrasound Radiofrequency Signal

In this study, a new method to improve the diagnostic accuracy of QUS was established in which a multichannel convolutional neural network (MCNN) processes the raw radiofrequency (RF) signal of QUS. The improvement in the diagnostic accuracy of osteoporosis using this new method was evaluated by comparison with the conventional speed of sound (SOS) method. Dual-energy X-ray absorptiometry was used as the diagnostic standard.

https://www.umbjournal.org/article/S0301-5629(22)00154-5/fulltext?rss=yes

Source: Ultrasound in Medicine and Biology - May 15, 2022 Category: Radiology Authors: Wenqiang Luo, Zhiwei Chen, Qi Zhang, Baiying Lei, Zhong Chen, Yuan Fu, Peidong Guo, Changchuan Li, Teng Ma, Jiang Liu, Yue Ding Tags: Original Contribution Source Type: research