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Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions
Moreover, for accurate diagnosis of SCZ, researchers have used machine learning (ML) algorithms for the past decade to distinguish the brain patterns of healthy and SCZ brains using MRI and fMRI images.
Deep Learning for Brain Age Estimation: A Systematic Review
In this review, we offer a comprehensive analysis of the literature related to the adoption of deep learning for brain age estimation with neuroimaging data.
Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications
The paper discusses the future scope of QSM processing stages and their applications in identifying new biomarkers for neural disorders.
Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier
In the proposed model, lightweight 3D CNN is used to extract both spatial and spectral features simultaneously from 3D volume MRI scans, and classification is done using an ensemble bagging classifier.
