Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs
Journal
PloS one
Journal Volume
16
Journal Issue
1
Pages
e0245992
Date Issued
2021
Author(s)
Hsu, Benny Wei-Yun
Yin, Yu-Kai
Lin, Feng-Huei
Yang, Tsung-Han
Abstract
Identification of vertebral fractures (VFs) is critical for effective secondary fracture prevention owing to their association with the increasing risks of future fractures. Plain abdominal frontal radiographs (PARs) are a common investigation method performed for a variety of clinical indications and provide an ideal platform for the opportunistic identification of VF. This study uses a deep convolutional neural network (DCNN) to identify the feasibility for the screening, detection, and localization of VFs using PARs.
SDGs
Type
journal article