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Conference 11953 > Paper 11953-43
Paper 11953-43

Deep learning-based optical bone densitometry

Abstract

This research emits near-infrared light into the wrist and receives the light scattered from the wrist in the form of an image. Then we analyze the information from the received photons and we use deep learning to analyze the data more deeply so that we can predict the bone density. This research employs a neural network called U-net for deep learning. After training, we compare the result with DXA to see whether the training result conforms to the DXA values. We also use the obtained wrist image to predict the bone density value of other parts of the body.

Presenter

National Yang Ming Chiao Tung Univ. (Taiwan)
Presenter/Author
National Yang Ming Chiao Tung Univ. (Taiwan)
Author
National Yang Ming Chiao Tung Univ. (Taiwan)
Author
Chun-Cheng Yang
National Yang Ming Chiao Tung Univ. (Taiwan)