Multimodal deep learning models for early detection of Alzheimer’s disease stage

Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. The fusion of multiple data modalities can provide a holistic view of AD staging analysis. Thus, we use deep learning (DL) to integrally analyze imaging (m...

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Bibliographic Details
Published in:	Scientific reports Vol. 11; no. 1; pp. 3254 - 13
Main Authors:	Venugopalan, Janani, Tong, Li, Hassanzadeh, Hamid Reza, Wang, May D.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 05.02.2021 Nature Publishing Group Nature Portfolio
Subjects:	631/114/2164 631/114/2401 Alzheimer Disease - diagnosis Alzheimer's disease Amygdala Auditory discrimination learning Cognitive ability Data interpretation Data Mining Deep Learning Diagnosis, Computer-Assisted Early Diagnosis Humanities and Social Sciences Humans Magnetic resonance imaging multidisciplinary Neural networks Neurodegenerative diseases Neuroimaging Science Science (multidisciplinary) Single-nucleotide polymorphism
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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