Deep sequence modelling for Alzheimer's disease detection using MRI

• Published in: Computers in biology and medicine Vol. 134; p. 104537
• Main Authors: Ebrahimi, Amir, Luo, Suhuai, Chiong, Raymond
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.07.2021; Elsevier Limited
• Subjects: Alzheimer's disease; Artificial intelligence; Artificial neural networks; Brain research; Classification; Convolutional neural network; Datasets; Decision making; Deep learning; Dementia; Image processing; Internal Medicine; Machine learning; Magnetic resonance imaging; Medical imaging; Memory; Model accuracy; Modelling; MRI; Neural networks; Neurodegenerative diseases; Neuroimaging; Other; Recurrent neural network; Recurrent neural networks; Spatial dependencies; Temporal convolutional network; Three dimensional imaging; Two dimensional models; Recurrent neural network; Temporal convolutional network; MRI; Alzheimer's disease; Convolutional neural network

Alzheimer's disease (AD) is one of the deadliest diseases in developed countries. Treatments following early AD detection can significantly delay institutionalisation and extend patients' independence. There has been a growing focus on early AD detection using artificial intelligence. Conv...