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Deep learning-radiomics assessment of intervertebral disc and paraspinal muscle heterogeneity for predicting postoperative recurrent lumbar disc herniation

ObjectiveAlthough imaging and paraspinal muscle parameters are linked to postoperative recurrent lumbar disc herniation (PRLDH), micro-level texture characteristics and their interactions remain underexplored. This study applied deep learning (DL)-radiomics to quantify the microstructural heterogene...

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Uloženo v:
Hlavní autoři: Guangdong Zhang, Ziqian Zhu, Haiyan Zheng, Xindong Chang, Fanyi Zeng, Jianwei Cui, Ming Tang, Shiwu Yin
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2026-02-01
Edice:Frontiers in Artificial Intelligence
Témata:
deep learning
intervertebral disc
lumbar disc herniation
paraspinal muscle
postoperative recurrent lumbar disc herniation
On-line přístup:https://www.frontiersin.org/articles/10.3389/frai.2026.1757269/full
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