Deep Learning-Based Automated Magnetic Resonance Image Segmentation of the Lumbar Structure and Its Adjacent Structures at the L4/5 Level

(1) Background: This study aims to develop a deep learning model based on a 3D Deeplab V3+ network to automatically segment multiple structures from magnetic resonance (MR) images at the L4/5 level. (2) Methods: After data preprocessing, the modified 3D Deeplab V3+ network of the deep learning model...

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Detalles Bibliográficos
Autores principales: Wang, Min, Su, Zhihai, Liu, Zheng, Chen, Tao, Cui, Zhifei, Li, Shaolin, Pang, Shumao, Lu, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451852/
https://www.ncbi.nlm.nih.gov/pubmed/37627848
http://dx.doi.org/10.3390/bioengineering10080963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451852/
https://www.ncbi.nlm.nih.gov/pubmed/37627848
http://dx.doi.org/10.3390/bioengineering10080963

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