Classifying intracranial stenosis disease severity from functional MRI data using machine learning

Translation of many non-invasive hemodynamic MRI methods to cerebrovascular disease patients has been hampered by well-known artifacts associated with delayed blood arrival times and reduced microvascular compliance. Using machine learning and support vector machine (SVM) algorithms, we investigated...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:J Cereb Blood Flow Metab
Main Authors: Waddle, Spencer L, Juttukonda, Meher R, Lants, Sarah K, Davis, Larry T, Chitale, Rohan, Fusco, Matthew R, Jordan, Lori C, Donahue, Manus J
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2019
Assuntos:
Original Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7168799/
https://ncbi.nlm.nih.gov/pubmed/31068081
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0271678X19848098
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados