An Intelligent Framework for Alzheimer's disease Classification Using EfficientNet Transfer Learning Model

Alzheimer's disease (AD) is a prevalent psychological disorder. The economic cost of treating for AD patients is expected to increase. Therefore in the last few years, research on AD diagnostic has laid great emphasis on computer-aided methods. The significance of developing an artificial intel...

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Vydané v:	2022 International Conference on Emerging Smart Computing and Informatics (ESCI) s. 1 - 4
Hlavní autori:	Sethi, Monika, Ahuja, Sachin, Singh, Sehajpreet, Snehi, Jyoti, Chawla, Mukesh
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 09.03.2022
Predmet:	Alzheimer's disease Biological system modeling Brain modeling Classification Computational modeling EfficientNet Magnetic resonance imaging Neuroimaging Reliability Transfer learning
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