Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing
por: Galbusera, Fabio, et al.
Publicado: (2021) -
A fresh look at spinal alignment and deformities: Automated analysis of a large database of 9832 biplanar radiographs
por: Galbusera, Fabio, et al.
Publicado: (2022) -
2-step deep learning model for landmarks localization in spine radiographs
por: Cina, Andrea, et al.
Publicado: (2021) -
The importance of curve severity, type and instrumentation strategy in the surgical correction of adolescent idiopathic scoliosis: an in silico clinical trial on 64 cases
por: Galbusera, Fabio, et al.
Publicado: (2021) -
The role of endplate injury in intervertebral disc degeneration after vertebral augmentation in OVCF patients
por: Li, Yongchao, et al.
Publicado: (2023)