Application of deep learning model based on unenhanced chest CT for opportunistic screening of osteoporosis: a multicenter retrospective cohort study

Application of deep learning model based on unenhanced chest CT for opportunistic screening of osteoporosis: a multicenter retrospective cohort study

Abstract Introduction A large number of middle-aged and elderly patients have an insufficient understanding of osteoporosis and its harm. This study aimed to establish and validate a convolutional neural network (CNN) model based on unenhanced chest computed tomography (CT) images of the vertebral b...

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Bibliographic Details
Main Authors: Chengbin Huang, Dengying Wu, Bingzhang Wang, Chenxuan Hong, Jiasen Hu, Zijian Yan, Jianpeng Chen, Yaping Jin, Yingze Zhang
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Insights into Imaging
Subjects:
Osteoporosis
Chest CT
Deep learning
Convolutional neural network
Multicenter cohort study
Online Access:https://doi.org/10.1186/s13244-024-01817-2
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https://doi.org/10.1186/s13244-024-01817-2

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