A cross-sectional study of explainable machine learning in Alzheimer’s disease: diagnostic classification using MR radiomic features

INTRODUCTION: Alzheimer’s disease (AD) even nowadays remains a complex neurodegenerative disease and its diagnosis relies mainly on cognitive tests which have many limitations. On the other hand, qualitative imaging will not provide an early diagnosis because the radiologist will perceive brain atro...

Descripción completa

Detalles Bibliográficos
Autores principales: Leandrou, Stephanos, Lamnisos, Demetris, Bougias, Haralabos, Stogiannos, Nikolaos, Georgiadou, Eleni, Achilleos, K. G., Pattichis, Constantinos S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285704/
https://www.ncbi.nlm.nih.gov/pubmed/37358951
http://dx.doi.org/10.3389/fnagi.2023.1149871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285704/
https://www.ncbi.nlm.nih.gov/pubmed/37358951
http://dx.doi.org/10.3389/fnagi.2023.1149871

Ejemplares similares