Explainable machine learning radiomics model for Primary Progressive Aphasia classification

Explainable machine learning radiomics model for Primary Progressive Aphasia classification

IntroductionPrimary Progressive Aphasia (PPA) is a neurodegenerative disease characterized by linguistic impairment. The two main clinical subtypes are semantic (svPPA) and non-fluent/agrammatic (nfvPPA) variants. Diagnosing and classifying PPA patients represents a complex challenge that requires t...

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Bibliographic Details
Main Authors: Benedetta Tafuri, Roberto De Blasi, Salvatore Nigro, Giancarlo Logroscino
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Systems Neuroscience
Subjects:
Primary Progressive Aphasia
MRI
machine learning (ML)
radiomics
explainability
Online Access:https://www.frontiersin.org/articles/10.3389/fnsys.2024.1324437/full

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https://www.frontiersin.org/articles/10.3389/fnsys.2024.1324437/full

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