A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters

A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters

BackgroundEarly diagnosis of non-union fractures is vital for treatment planning, yet studies using bone morphometric parameters for this purpose are scarce. This study aims to create a fracture micro-CT image dataset, design a deep learning algorithm for fracture segmentation, and develop an early...

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Bibliographic Details
Main Authors: Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Medicine
Subjects:
micro-CT
fracture non-union prediction
bone morphometric parameters
deep learning
Mamba network
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1547588/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1547588/full

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