Deep Learning-Based Multilevel Classification of Alzheimer’s Disease Using Non-invasive Functional Near-Infrared Spectroscopy

The timely diagnosis of Alzheimer’s disease (AD) and its prodromal stages is critically important for the patients, who manifest different neurodegenerative severity and progression risks, to take intervention and early symptomatic treatments before the brain damage is shaped. As one of the promisin...

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Main Authors: Thi Kieu Khanh Ho, Minhee Kim, Younghun Jeon, Byeong C. Kim, Jae Gwan Kim, Kun Ho Lee, Jong-In Song, Jeonghwan Gwak
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-04-01
Colecção:Frontiers in Aging Neuroscience
Assuntos:
Alzheimer’s disease
fNIRS
multi-class classification
deep learning – artificial neural network (DL-ANN)
CNN-LSTM
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fnagi.2022.810125/full
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