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Machine Learning Predicts Decompression Levels for Lumbar Spinal Stenosis Using Canal Radiomic Features from Computed Tomography Myelography

Background: The accurate preoperative identification of decompression levels is crucial for the success of surgery in patients with multi-level lumbar spinal stenosis (LSS). The objective of this study was to develop machine learning (ML) classifiers that can predict decompression levels using compu...

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Principais autores: Guoxin Fan, Dongdong Wang, Yufeng Li, Zhipeng Xu, Hong Wang, Huaqing Liu, Xiang Liao
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-12-01
Serier:Diagnostics
Fag:
machine learning
lumbar spinal stenosis
computed tomography myelography
decompression level
predictive analysis
Online adgang:https://www.mdpi.com/2075-4418/14/1/53
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