A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study

A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study

Abstract Objective To develop a multi-scene model that can automatically segment acute vertebral compression fractures (VCFs) from spine radiographs. Methods In this multicenter study, we collected radiographs from five hospitals (Hospitals A–E) between November 2016 and October 2019. The study incl...

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Bibliographic Details
Main Authors: Hao Zhang, Genji Yuan, Ziyue Zhang, Xiang Guo, Ruixiang Xu, Tongshuai Xu, Xin Zhong, Meng Kong, Kai Zhu, Xuexiao Ma
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Insights into Imaging
Subjects:
Deep learning
Fractures
Compression
Spine
Radiography
Online Access:https://doi.org/10.1186/s13244-024-01861-y
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https://doi.org/10.1186/s13244-024-01861-y

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