Early Diagnosis of Alzheimer’s Disease Using 18F-FDG PET With Soften Latent Representation
Author:
Affiliation:
1. Department of IT Convergence Engineering, Gachon University, Seongnam-si, South Korea
2. Department of Computer Engineering, Gachon University, Seongnam-si, South Korea
Funder
National Research Foundation of Korea
Korea Government
Gachon University Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10570178.pdf?arnumber=10570178
Reference37 articles.
1. Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease
2. Diagnosis and Treatment for Mild Cognitive Impairment: A Systematic Review of Clinical Practice Guidelines and Consensus Statements
3. Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
4. MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer’s disease, and healthy controls
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