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Retraction Notice: Classification of Brain Disease & MRI-Based Age Estimation Using Deep Learning Algorithms

2023·0 Zitationen
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2023

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Abstract

Deep neural networks preserve effectively predict chronological age about healthy individuals from neuroimaging data, & predicted brain age may be used as a biomarker towards identify aging-related disorders. Convolutional Neural Network (CNN), a deep learning cascade network, & Support Vector Ma-chine, a machine learning algorithm, are therefore used in proposed method (SVM). These algorithms have been used towards train brain MRI scans certain have been divided into three classes: Normal, which has not been affected through any disease, Alzheimer's disease (AD), & Mild Cognitive Impairment (MCI). & from categorized photographs and determine ages. MRI image dataset is trained primarily using CNN & SVM, & it will be utilized towards do classification & age estimate.

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Fetal and Pediatric Neurological DisordersArtificial Intelligence in Healthcare and EducationHealth, Environment, Cognitive Aging
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