A Deep Convolutional Neural Networks based approach for Alzheimer's disease and Mild Cognitive Impairment classification using Brain Images

Alzheimer's disease (AD) is a hazardous neurological disorder of people aged in the early 60s. The main symptoms of AD is significant memory loss. Mild Cognitive Impairment (MCI) is a state of dementia in which a patient exhibits the early symptoms of AD. Since brain is the most impacted region...

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Vydané v:	IEEE access Ročník 10; s. 1
Hlavní autori:	Hazarika, Ruhul Amin, Kandar, Debdatta, Maji, Arnab Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Alzheimer's disease Alzheimer’s Disease (AD) Artificial neural networks Back propagation networks Brain Brain modeling Cognitive ability Cognitively Normal (CN) Computational modeling Computer architecture Convolutional neural networks Decision making Deep Convolutional Neural Network (DNN) DenseNet Image classification Impairment Machine learning Machine Learning (ML) Magnetic resonance imaging Mild Cognitive Impairment (MCI) Neural networks Neurological diseases Neurons Signs and symptoms Training data VGG-19
ISSN:	2169-3536, 2169-3536
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