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

INTRODUCTION: A 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.” Thes...

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Detalles Bibliográficos
Autores principales: Bassani, Tito, Cina, Andrea, Galbusera, Fabio, Sconfienza, Luca Maria, Albano, Domenico, Barcellona, Federica, Colombini, Alessandra, Luca, Andrea, Brayda-Bruno, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324976/
https://www.ncbi.nlm.nih.gov/pubmed/37425349
http://dx.doi.org/10.3389/fsurg.2023.1172313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324976/
https://www.ncbi.nlm.nih.gov/pubmed/37425349
http://dx.doi.org/10.3389/fsurg.2023.1172313

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