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Application and performance of deep learning models for the automated diagnosis of cervical central spinal stenosis on MRI: a systematic review

Introduction: Cervical central spinal stenosis (CCSS) is a leading cause of adult spinal cord dysfunction. Magnetic resonance imaging (MRI) is the reference standard, but reporting is time-consuming and subject to inter-observer variability. Artificial intelligence (AI)—especially deep-learning—may...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Vasileios Mougios, Robin Peretzke, Alexandra Ertl, Martin Dugas, Klaus Maier Hein, Peter Neher, Sebastian Ille, Sandro Krieg, Pavlina Lenga
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2026-01-01
Schriftenreihe:Brain and Spine
Schlagworte:
AI
Deep-learning
Convolutional neural network
MRI
Cervical central canal stenosis
Online-Zugang:http://www.sciencedirect.com/science/article/pii/S2772529425017217
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