Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening

Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening

Objective: There is an unmet need for quick, physically small, and cost-effective office-based techniques that can measure bone properties without the use of ionizing radiation. Methods: The present study reports the application of a neural network classifier to the processing of previously collecte...

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Bibliographic Details
Main Authors: Johnathan W. Adams, Ziming Zhang, Gregory M. Noetscher, Ara Nazarian, Sergey N. Makarov
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Artificial intelligence
neural networks
osteopenia
osteoporosis
radiofrequency measurements
signal processing
Online Access:https://ieeexplore.ieee.org/document/9524680/

Internet

https://ieeexplore.ieee.org/document/9524680/

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