Machine Learning for Brain MRI Data Harmonisation: A Systematic Review

Background: Magnetic Resonance Imaging (MRI) data collected from multiple centres can be heterogeneous due to factors such as the scanner used and the site location. To reduce this heterogeneity, the data needs to be harmonised. In recent years, machine learning (ML) has been used to solve different...

Descripción completa

Detalles Bibliográficos
Autores principales: Wen, Grace, Shim, Vickie, Holdsworth, Samantha Jane, Fernandez, Justin, Qiao, Miao, Kasabov, Nikola, Wang, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135601/
https://www.ncbi.nlm.nih.gov/pubmed/37106584
http://dx.doi.org/10.3390/bioengineering10040397

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135601/
https://www.ncbi.nlm.nih.gov/pubmed/37106584
http://dx.doi.org/10.3390/bioengineering10040397

Ejemplares similares