Early Diagnosis of Alzheimer Disease from Mri Using Deep Learning Models
- سال انتشار: 1402
- محل انتشار: فصلنامه مدیریت فناوری اطلاعات، دوره: 15، شماره: 5
- کد COI اختصاصی: JR_JITM-15-5_004
- زبان مقاله: انگلیسی
- تعداد مشاهده: 291
نویسندگان
Research Scholar, Department of CSE Annamalai University, Chidambaram
Prof., Department of CSE, Annamalai University, Chidambaram,
Professor, Department of IT SR Gudlavalleru Engineering College, Gudlavalleru
Professor, Department of CSE, Annamalai University, Chidambaram
چکیده
On a global scale, one of the prevalent causes of dementia is Alzheimer’s disease (AD). It will cause a steady deterioration in the individual from the mild stage to the severe stage, and thus impair their capacity to finish any tasks with no aid. The diagnosis is done with the utilization of existing methods which include medical history; neuropsychological testing as well as MRI (Magnetic Resonance Imaging), a lack of sensitivity as well as precision does affect the consistency of efficient procedures. With the deep learning network’s utilization, it is possible to create a framework for detecting specific AD characteristics from the MRI images. While automatic diagnosis is done with the application of diverse machine learning techniques, the existing ones do suffer from certain constraints with regards to accuracy.Thus, this work’s key goal is to increase the classification’s accuracy through the inclusion of a pre-processing approach prior to the deep learning model. The Alzheimer's disease Neuroimaging Initiative (ADNI) database of AD patients was used to develop a deep learning approach for AD identification. In addition, this study will present ideas for Haralick features, feature extraction from Local Binary Pattern (LBP), Artificial Neural Network (ANN), and Visual Geometry Group (VGG)-۱۹ network techniques. The results of the experiments show that the deep learners offered are more effective than other systems already in use.کلیدواژه ها
Alzheimer's disease (AD), Magnetic Resonance Imaging (MRI), Deep Learning (DL), Artificial Neural Network (ANN) and Visual Geometry Group (VGG)اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
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