A Comparison of Deep Learning and Traditional Machine Learning Approaches in Detecting Cognitive Impairment Using MRI Scans
Author:
Affiliation:
1. Fordham University,Computer and Information Sciences Department,New York,NY,10023
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842735.pdf?arnumber=9842735
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1. CLASSIFICATION OF ALZHEIMER DISEASE BASED ON STRUCTURAL MAGNETIC RESONANCE IMAGING BY KERNEL SUPPORT VECTOR MACHINE DECISION TREE
2. An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI
3. Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment
4. RNN-based longitudinal analysis for diagnosis of Alzheimer’s disease
5. GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer’s Disease Diagnosis
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