Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model

Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model

IntroductionA novel classification scheme for endplate lesions, based on T2-weighted images from magnetic resonance imaging (MRI) scan, has been recently introduced and validated. The scheme categorizes intervertebral spaces as “normal,” “wavy/irregular,” “notched,” and “Schmorl's node.” These...

Full description

Bibliographic Details
Main Authors: Tito Bassani, Andrea Cina, Fabio Galbusera, Luca Maria Sconfienza, Domenico Albano, Federica Barcellona, Alessandra Colombini, Andrea Luca, Marco Brayda-Bruno
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Surgery
Subjects:
spine
endplate lesions
osteochondrosis
artificial intelligence
deep learning
automatic classification
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2023.1172313/full

Internet

https://www.frontiersin.org/articles/10.3389/fsurg.2023.1172313/full

Similar Items