Article

Deep Learning for Predicting Lumbar Instability Using Neutral Lateral Lumbar Radiographs: A Retrospective Study

2025-11-13

Abstract excerpt

<title>Abstract</title> <p>Objective To develop a deep learning model for predicting lumbar segmental instability (LSI) using neutral lateral lumbar radiographs and to identify key radiographic features associated with LSI. Methods A DenseNet121-based stacking ensemble model was integrated with Support Vector Machine, Random Forest, and Softmax classifiers. Model validation employed 10-fold cross-validation, with...

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Literature Corpus work: 9b47f891-4e53-5609-9e24-6ac76e90b287
DOI: 10.21203/rs.3.rs-7410485/v1

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