Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T(2) *‐weighted images of cervical spondylotic myelopathy

INTRODUCTION: Predicting the postoperative neurological function of cervical spondylotic myelopathy (CSM) patients is generally based on conventional magnetic resonance imaging (MRI) patterns, but this approach is not completely satisfactory. This study utilized radiomics, which produced advanced ob...

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Detalles Bibliográficos
Autores principales: Zhang, Meng‐Ze, Ou‐Yang, Han‐Qiang, Jiang, Liang, Wang, Chun‐Jie, Liu, Jian‐Fang, Jin, Dan, Ni, Ming, Liu, Xiao‐Guang, Lang, Ning, Yuan, Hui‐Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Special Issue Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717093/
https://www.ncbi.nlm.nih.gov/pubmed/35005444
http://dx.doi.org/10.1002/jsp2.1178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717093/
https://www.ncbi.nlm.nih.gov/pubmed/35005444
http://dx.doi.org/10.1002/jsp2.1178

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