An Intelligent Method of Alzheimer's disease Using Deep learning

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Razavi Firouzeh; TAROKH MOHAMMAD JAFAR; ALBORZI MAHMOOD

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Journal Paper

Paper Information

Journal: JOURNAL OF RESEARCH IN BEHAVIOURAL SCIENCES Year:2020 | Volume:18 | Issue:2 Page(s): 260-269

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Title

An Intelligent Method of Alzheimer's disease Using Deep learning

Author(s)

Razavi Firouzeh | TAROKH MOHAMMAD JAFAR | ALBORZI MAHMOOD | Issue Writer Certificate

Keywords

Alzheimer's disease

Deep Learning Neural Network

Classification

Abstract

Aim and Background: Alzheimer 's disease is the most common form of dementia which has caused disorder in memory. Cerebral palsy and posttraumatic stress disorder (veterans of war, warriors, armed forces) play an important role in increasing the risk of Alzheimer's disease. The nature of the large dimensions of neural data, as well as the small number of available samples, make for an accurate computer diagnostic system. The aim of this study was to apply deep neural networks to develop an automatic disease diagnosis system. Methods and Materials: In this research, studies on magnetic resonance imaging of war veterans are done by python Software. In the proposed model, in the proposed model, 10% of the images of the data base were selected for training. In the first stage, the training is from deep learning with Convolutional network to extract the features, then in the second stage, in order to classify the health status based on the learned features. Findings: The results of the analysis are also compared with the results presented in previous Studies. The proposed method has higher detection accuracy than the existing Ones, which increases the accuracy of detection in many cases. Conclusions: The results of this study showed that using intelligent methods based on deep learning can accurately diagnose the disease.

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APA: Copy

Razavi, Firouzeh, TAROKH, MOHAMMAD JAFAR, & ALBORZI, MAHMOOD. (2020). An Intelligent Method of Alzheimer's disease Using Deep learning. JOURNAL OF RESEARCH IN BEHAVIOURAL SCIENCES, 18(2 ), 260-269. SID. https://sid.ir/paper/959645/en

Vancouver: Copy

Razavi Firouzeh, TAROKH MOHAMMAD JAFAR, ALBORZI MAHMOOD. An Intelligent Method of Alzheimer's disease Using Deep learning. JOURNAL OF RESEARCH IN BEHAVIOURAL SCIENCES[Internet]. 2020;18(2 ):260-269. Available from: https://sid.ir/paper/959645/en

IEEE: Copy

Firouzeh Razavi, MOHAMMAD JAFAR TAROKH, and MAHMOOD ALBORZI, “An Intelligent Method of Alzheimer's disease Using Deep learning,” JOURNAL OF RESEARCH IN BEHAVIOURAL SCIENCES, vol. 18, no. 2 , pp. 260–269, 2020, [Online]. Available: https://sid.ir/paper/959645/en

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