Same-Subject-Modalities-Interactions: A Novel Framework for MRI and PET Multi-Modality fusion for Alzheimer's disease Classification

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Guelib, Bouchra, Zarour, Karim, Hermessi, Haithem, Bounab, Rayene, Nawres, Khlifa
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Alzheimer's disease; Atrophy; Biomarkers; Classification; Classifiers; Computational modeling; Data mining; Diseases; Feature extraction; Feature selection; Fusion; Machine learning; Magnetic resonance imaging; Medical imaging; MRI; Multimodality; Neurological diseases; PET; Positron emission; Positron emission tomography

Alzheimer's disease is a growing concern, and neuroimaging techniques such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) scans are widely used to classify AD patients. While MRI captures structural information and measures brain atrophy, PET shows functional changes...