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

IntroductionAlzheimer’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 atroph...

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Principais autores:	Stephanos Leandrou, Demetris Lamnisos, Haralabos Bougias, Nikolaos Stogiannos, Eleni Georgiadou, K. G. Achilleos, Constantinos S. Pattichis, Alzheimer’s Disease Neuroimaging Initiative
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-06-01
coleção:	Frontiers in Aging Neuroscience
Assuntos:	Alzheimer’s disease MRI machine learning (ML) radiomic explainability and interpretability
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnagi.2023.1149871/full
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