Automated detection of imaging features of disproportionately enlarged subarachnoid space hydrocephalus using machine learning methods

OBJECTIVE: Create an automated classifier for imaging characteristics of disproportionately enlarged subarachnoid space hydrocephalus (DESH), a neuroimaging phenotype of idiopathic normal pressure hydrocephalus (iNPH). METHODS: 1597 patients from the Mayo Clinic Study of Aging (MCSA) were reviewed f...

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Detalles Bibliográficos
Autores principales: Gunter, Nathaniel B., Schwarz, Christopher G., Graff-Radford, Jonathan, Gunter, Jeffrey L., Jones, David T., Graff-Radford, Neill R., Petersen, Ronald C., Knopman, David S., Jack, Clifford R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413466/
https://www.ncbi.nlm.nih.gov/pubmed/30497983
http://dx.doi.org/10.1016/j.nicl.2018.11.015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413466/
https://www.ncbi.nlm.nih.gov/pubmed/30497983
http://dx.doi.org/10.1016/j.nicl.2018.11.015

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