Same-Subject-Modalities-Interactions: A Novel Framework for MRI and PET Multi-Modality Fusion for Alzheimer’s Disease Classification
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 c...
Main Authors: | Bouchra Guelib, Karim Zarour, Haithem Hermessi, Bounab Rayene, Khlifa Nawres |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10125572/ |
Similar Items
-
Enhancing Medicare Fraud Detection Through Machine Learning: Addressing Class Imbalance With SMOTE-ENN
by: Rayene Bounab, et al.
Published: (2024-01-01) -
Imaging modalities to assess oxygen status in glioblastoma
by: Aurélien eCorroyer-Dulmont, et al.
Published: (2015-08-01) -
An Effective Multimodal Image Fusion Method Using MRI and PET for Alzheimer's Disease Diagnosis
by: Juan Song, et al.
Published: (2021-02-01) -
Performance evaluation of a PET insert for preclinical MRI in stand-alone PET and simultaneous PET–MRI modes
by: Gaelle Emvalomenos, et al.
Published: (2021-10-01) -
An in vivo multimodal feasibility study in a rat brain tumour model using flexible multinuclear MR and PET systems
by: Chang-Hoon Choi, et al.
Published: (2020-07-01)