Multiple Machine Learning Approaches for Morphometric Parameters in Prediction of Hydrocephalus

Background: The diagnosis of hydrocephalus is mainly based on imaging findings. However, the significance of many imaging indicators may change, especially in some degenerative diseases, and even lead to misdiagnosis. Methods: This study explored the effectiveness of commonly used morphological para...

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Detalles Bibliográficos
Autores principales: Xu, Hao, Fang, Xiang, Jing, Xiaolei, Bao, Dejun, Niu, Chaoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688126/
https://www.ncbi.nlm.nih.gov/pubmed/36358410
http://dx.doi.org/10.3390/brainsci12111484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688126/
https://www.ncbi.nlm.nih.gov/pubmed/36358410
http://dx.doi.org/10.3390/brainsci12111484

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