Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder

Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder

<b>Background:</b> According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults suffer from attention deficit hyperactivity disorder (ADHD). This disorder can have significant negative consequences on people’s lives, particularly children. In recent y...

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Bibliographic Details
Main Authors: Elahe Hosseini, Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, Pedro Rosa-Neto, Ali-Reza Moradi, Ajay Kumar, Mir Mohsen Pedram, Sanjeev Chawla
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Tomography
Subjects:
ADHD diagnosis
3D MRI to 2D feature maps
deep learning
VGG16 model
neuroimaging
convolutional neural networks
Online Access:https://www.mdpi.com/2379-139X/11/5/56
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