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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items