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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Vydané v:	Scientific reports Ročník 11; číslo 1; s. 3254 - 13
Hlavní autori:	Venugopalan, Janani, Tong, Li, Hassanzadeh, Hamid Reza, Wang, May D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 05.02.2021 Nature Publishing Group Nature Portfolio
Predmet:	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
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