A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data

Automatic detection of Attention Deficit Hyperactivity Disorder (ADHD) based on the functional Magnetic Resonance Imaging (fMRI) through Deep Learning (DL) is becoming a quite useful methodology due to the curse of-dimensionality problem of the data is solved. Also, this method proposes an invasive...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Clinical EEG and neuroscience 2023-03, Vol.54 (2), p.151-159
Hauptverfasser:	Uyulan, Caglar, Erguzel, Turker Tekin, Turk, Omer, Farhad, Shams, Metin, Baris, Tarhan, Nevzat
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention Deficit Disorder with Hyperactivity Attention deficit hyperactivity disorder Brain Brain mapping Child Data acquisition Deep learning Electroencephalography Functional magnetic resonance imaging Humans Machine Learning Magnetic Resonance Imaging - methods Neural networks Neuroimaging Transfer learning
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!