نوع مقاله : مقاله پژوهشی
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
