An approach to the diagnosis of lumbar disc herniation using deep learning models

Background: In magnetic resonance imaging (MRI), lumbar disc herniation (LDH) detection is challenging due to the various shapes, sizes, angles, and regions associated with bulges, protrusions, extrusions, and sequestrations. Lumbar abnormalities in MRI can be detected automatically by using deep le...

Descripción completa

Detalles Bibliográficos
Autores principales: Prisilla, Ardha Ardea, Guo, Yue Leon, Jan, Yih-Kuen, Lin, Chih-Yang, Lin, Fu-Yu, Liau, Ben-Yi, Tsai, Jen-Yung, Ardhianto, Peter, Pusparani, Yori, Lung, Chi-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507264/
https://www.ncbi.nlm.nih.gov/pubmed/37731760
http://dx.doi.org/10.3389/fbioe.2023.1247112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507264/
https://www.ncbi.nlm.nih.gov/pubmed/37731760
http://dx.doi.org/10.3389/fbioe.2023.1247112

Ejemplares similares