Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning

Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning

Alzheimer's Disease (AD) is a neurodegenerative disease that is one of the major causes of death in the elderly population. Many deep learning (DL) techniques have been proposed for the diagnosis of AD using magnetic resonance imaging (MRI) scans. The prediction of AD using 2D slices extracted...

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Bibliographic Details
Main Authors: Gupta, A. (Author), Gupta, J. (Author), Rashid, A.H (Author), Tanveer, M. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Alzheimers disease
Alzheimer's disease
Bioinformatics
Causes of death
Cognitive impairment
Convolution
Convolutional neural network
Convolutional neural networks
Deep learning
Deep neural networks
Diagnosis
Disease diagnosis
Elderly populations
Lightweight frameworks
Magnetic resonance imaging
Medical imaging
Neurodegenerative diseases
Similarity learning
Three dimensional displays
Three-dimensional display
Three-dimensional displays
Training
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