Machine Learning-Based Measurement of Regional and Global Spinal Parameters Using the Concept of Incidence Angle of Inflection Points

This study delves into the application of convolutional neural networks (CNNs) in evaluating spinal sagittal alignment, introducing the innovative concept of incidence angles of inflection points (IAIPs) as intuitive parameters to capture the interplay between pelvic and spinal alignment. Pioneering...

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Detalles Bibliográficos
Autores principales: Nguyen, Thong Phi, Kim, Ji-Hwan, Kim, Seong-Ha, Yoon, Jonghun, Choi, Sung-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604057/
https://www.ncbi.nlm.nih.gov/pubmed/37892966
http://dx.doi.org/10.3390/bioengineering10101236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604057/
https://www.ncbi.nlm.nih.gov/pubmed/37892966
http://dx.doi.org/10.3390/bioengineering10101236

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