Deep learning for screening primary osteopenia and osteoporosis using spine radiographs and patient clinical covariates in a Chinese population

Deep learning for screening primary osteopenia and osteoporosis using spine radiographs and patient clinical covariates in a Chinese population

PurposeMany high-risk osteopenia and osteoporosis patients remain undiagnosed. We proposed to construct a convolutional neural network model for screening primary osteopenia and osteoporosis based on the lumbar radiographs, and to compare the diagnostic performance of the CNN model adding the clinic...

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Bibliographic Details
Main Authors: Liting Mao, Ziqiang Xia, Liang Pan, Jun Chen, Xian Liu, Zhiqiang Li, Zhaoxian Yan, Gengbin Lin, Huisen Wen, Bo Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Endocrinology
Subjects:
osteoporosis
convolutional neural network (CNN)
screening
dual-energy x-ray absorptiometry (DXA)
lumbar spine x-rays
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.971877/full

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https://www.frontiersin.org/articles/10.3389/fendo.2022.971877/full

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