Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images

Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images

PurposeTo develop and validate a deep learning radiomics (DLR) model that uses X-ray images to predict the classification of osteoporotic vertebral fractures (OVFs).Material and methodsThe study encompassed a cohort of 942 patients, involving examinations of 1076 vertebrae through X-ray, CT, and MRI...

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Bibliographic Details
Main Authors: Jun Zhang, Liang Xia, Jiayi Liu, Xiaoying Niu, Jun Tang, Jianguo Xia, Yongkang Liu, Weixiao Zhang, Zhipeng Liang, Xueli Zhang, Guangyu Tang, Lin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Endocrinology
Subjects:
osteoporotic vertebral fractures
classification
X-ray computed tomography
deep learning
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1370838/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2024.1370838/full

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