Authors
Samy S. Abu-Naser
North Dakota State University (PhD)
Abstract
Abstract: Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear gradually and end with severe brain damage. People with Alzheimer's disease lose the abilities of knowledge, memory, language and learning. Recently, the classification and diagnosis of diseases using deep learning has emerged as an active topic covering a wide range of applications. This paper proposes examining abnormalities in brain structures and detecting cases of Alzheimer's disease especially in the early stages, using features derived from medical images. The entire brain image was passed on through the transmission of Xception learning architectures. The Convolutional Neural Network (CNN) was constructed with the help of separable convolution layers that It can automatically learn general features from imaging data for classification.
Keywords Alzheimer's disease  Dementia disease
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References found in this work BETA

Mango Classification Using Deep Learning.Alaa Soliman Abu Mettleq, Ibtesam M. Dheir, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):22-29.
Classifying Nuts Types Using Convolutional Neural Network.Ibtesam M. Dheir, Alaa Soliman Abu Mettleq, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):12-18.
Type of Grapefruit Classification Using Deep Learning.Mohammed M. Abu-Saqer, Samy S. Abu-Naser & Mohammed O. Al-Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (1):1-5.
Email Classification Using Artificial Neural Network.Ahmed Alghoul, Sara Al Ajrami, Ghada Al Jarousha, Ghayda Harb & Samy S. Abu-Naser - 2018 - International Journal of Academic Engineering Research (IJAER) 2 (11):8-14.

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