نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مدیریت فناوری اطلاعات ، واحد علوم و تحقیقات دانشگاه آزاد اسلامی، تهران، ایران
2 گروه مهندسی فناوری اطلاعات، دانشکده مهندسی صنایع، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران
3 گروه مدیریت فناوری اطلاعات، واحد علوم و تحقیقات دانشگاه آزاد اسلامی، تهران، ایران
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
abstract
Introduction: In recent years, many studies have been done to analyze brain diseases in order to identify brain diseases that have a significant role in creating diagnostic intelligent systems. among the different methods of machine learning, deep learning based methods in recent years have been a wide application of the development of intelligent systems, which resulted in the creation of powerful systems for diagnosis of disease.
Method: In this study, the diagnosis of Alzheimer's patients with deep learning neural network is based on method of 3- D Residual Block. the training and test procedure presented by ADNI data set
Results: The results showed that the output of this Method were conducted in comparison to the proposed methods, accuracy of diagnose and classification of Alzheimer's disease.
Conclusion: the findings of the present study showed that the machine learning with deep learning methods can diagnose Alzheimer's disease sooner than doctors.
کلیدواژه‌ها [English]
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