Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation

<p dir="ltr">Accelerated brain aging and abnormalities are associated with variations in brain patterns. Effective and reliable assessment methods are required to accurately classify and estimate brain age. In this study, a brain age classification and estimation framework is propose...

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Bibliographic Details
Main Author: Raveendra Pilli (21633287) (author)
Other Authors: Tripti Goel (21633290) (author), R. Murugan (21633293) (author), M. Tanveer (1758181) (author), P. N. Suganthan (21633296) (author)
Published: 2024
Subjects:
Biomedical and clinical sciences
Clinical sciences
Neurosciences
Engineering
Biomedical engineering
Cerebrospinal fluid (CSF)
gray matter (GM)
kernel ridge regression-random vector functional link (KRR-RVFL)
magnetic resonance imaging (MRI)
white matter (WM)
Aging
Feature extraction
Magnetic resonance imaging
Kernel
Convolutional neural networks
Brain modeling
Standards
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