Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data

PURPOSE: To evaluate the value of convolutional neural network (CNN) in the diagnosis of human brain tumor or Alzheimer’s disease by MR spectroscopic imaging (MRSI) and to compare its Matthews correlation coefficient (MCC) score against that of other machine learning methods and previous evaluation...

Descripción completa

Detalles Bibliográficos
Autores principales: Acquarelli, Jacopo, van Laarhoven, Twan, Postma, Geert J., Jansen, Jeroen J., Rijpma, Anne, van Asten, Sjaak, Heerschap, Arend, Buydens, Lutgarde M. C., Marchiori, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401174/
https://www.ncbi.nlm.nih.gov/pubmed/36001537
http://dx.doi.org/10.1371/journal.pone.0268881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401174/
https://www.ncbi.nlm.nih.gov/pubmed/36001537
http://dx.doi.org/10.1371/journal.pone.0268881

Ejemplares similares