Effectiveness of AI Techniques for the Classification of Alzheimer’s Disease – A Review

N. M., R. J
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Abstract

Alzheimer’s is a disease affecting the brain by which the memory and related activities are being slowly and progressively diminishes. The classification of Alzheimer’s disease is being done by the analysis of Magnetic Resonance Images. Use of Artificial Intelligence techniques for this purpose is being under development all over the world. Various techniques are being developed for classifying Alzheimer’s disease in the past two decades. Those related to Alzheimer’s are studied in this research, in order to understand current developments and identify the future needs in this area of technology. Even though each technique possesses some inefficiency, all have certain advantages too. The accuracy of results shows a vibrant role in the field of medical science than any other engineering areas. According to this study, the development of new models by applying features of multiple techniques is required to overcome the current constraints.
人工智能技术在阿尔茨海默病分类中的有效性综述
阿尔茨海默氏症是一种影响大脑的疾病,通过这种疾病,记忆和相关活动会逐渐减少。阿尔茨海默病的分类是通过对磁共振图像的分析来完成的。世界各地都在开发用于这一目的的人工智能技术。在过去的二十年里,人们开发了各种各样的技术来对阿尔茨海默病进行分类。本研究研究了与阿尔茨海默氏症相关的研究,以了解当前的发展并确定该技术领域的未来需求。尽管每种技术都有一些低效率,但都有一定的优点。结果的准确性在医学科学领域比任何其他工程领域都显示出活跃的作用。根据本研究,需要通过应用多种技术的特征来开发新模型来克服当前的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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