A Survey of Alzheimer’s disease using Fuzzy Neural Network
Publish place: کنفرانس بین المللی مهندسی کامپیوتر و فناوری اطلاعات
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 749
This Paper With 7 Page And PDF and WORD Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CITCOMP01_200
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
Alzheimer disease is one of the most common diseases in the aging population, ranking as the fourth most common cause of death and it is a progressive neurodegenerative disorder characterized by the gradual onset of dementia. Magnetic resonance imaging (MRI) is a preferred neuro imaging examination for Alzheimer disease diagnosis. It allows accurate 3-dimensional (3D) volume measurement of brain structures. The primary role of MRI in the diagnosis of Alzheimer disease is the assessment of volume change in characteristic locations. The diagnosis should be made on the basis of two features:mesial temporal lobe atrophy and temporoparietal cortical atrophy. Computer implementations increased the accuracy and performance of detecting undergoing changes in affected brain areas. It uses Image Segmentation and integrating of its algorithms provides simpler guidance for the diagnosis process. This paper provides a survey of existing techniques of image segmentation and a comparison of the K-means and neuro-fuzzy algorithms are also given.
Keywords:
Authors
Behnaz Ghorbani
Department of Computer Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Markazi, Iran
Manouchehr Kazemi
Department of Computer Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Markazi, Iran
Mahdieh Nadi Senejani
Department of Computer Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Markazi, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :