模糊逻辑方法在阿尔茨海默病分类识别中的应用

Ikbel Haouas, Mourad Moussa, A. Douik
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引用次数: 2

摘要

近几十年来,关于阿尔茨海默病(AD)的研究发表了许多。阿尔茨海默病是一种退行性脑部疾病;它会导致严重的记忆退化和严重的认知障碍。在缺乏治疗的情况下,寻找新的创新方法来预测这种疾病,对医生和计算机科学家来说都是一个挑战。在同样的背景下,我们在下面的文章中首先致力于开发在脑图像预处理中预测阿尔茨海默病的方法。我们在本文中详细介绍的分类方法是基于3D MRI脑图像,3D PET Florbetaben脑图像和3D PET Flortaucipir脑图像中的模糊逻辑。
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Classification and Identification of Alzheimer Disease With Fuzzy Logic Method
Many studies and researches were published about Alzheimer's disease (AD) in recent decades. AD is a degenerative brain disease; it causes cardinal memory deterioration and significant cognitive impairments. In the absence of treatment, searching new innovative methods of this disease prediction becomes a challenge for both doctors and computer scientists. In the same context, we dedicated the following article in the first place to develop approaches in order to predict Alzheimer's disease within pre-treatment of brain images. Our classification's approaches detailed in this paper is based on Fuzzy logic within 3D MRI brain images, 3D PET Florbetaben brain images and 3D PET Flortaucipir brain images.
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