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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Vasileios Mougios, Robin Peretzke, Alexandra Ertl, Martin Dugas, Klaus Maier Hein, Peter Neher, Sebastian Ille, Sandro Krieg, Pavlina Lenga
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-01-01
Serie:	Brain and Spine
Soggetti:	AI Deep-learning Convolutional neural network MRI Cervical central canal stenosis
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2772529425017217
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!