PRIOR DETECTION OF ALZHEIMER’S DISEASE WITH THE AID OF MRI IMAGES AND DEEP NEURAL NETWORKS

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Malaysian Journal of Computer Science Pub Date : 2022-12-06 DOI:10.22452/mjcs.sp2022no2.2

K. S. A., Priya Nandihal, Seemanthini K, Manjunath D R, L. Liyakathunisa

引用次数: 1

Abstract

Alzheimer's disease is a degenerative disease in which brain cells die and deteriorate. It is the most prevalent reason for dementia, which is defined as a progressive decrease in thinking, conduct, and social skills that impairs a person's capacity to operate independently. Although it is fatal the early diagnosis of Alzheimer's can be extremely helpful. Our main aim is to help with the diagnosis of this disease in its early stages using the VGG16 classifier which is a convolutional neural network (CNN) that is 16 layers deep. The dataset consists of MRI images of the brain. Data augmentation is done to significantly increase the diversity of data available and Data pre-processing helps to enhance the overall truthfulness of the proposed approach.

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MRI图像和深度神经网络对阿尔茨海默病的早期检测

阿尔茨海默病是一种脑细胞死亡和退化的退行性疾病。这是痴呆症最常见的原因，痴呆症被定义为思维、行为和社交技能的逐渐下降，削弱了一个人的独立运作能力。虽然它是致命的，但早期诊断阿尔茨海默氏症会非常有帮助。我们的主要目的是使用VGG16分类器帮助在早期诊断这种疾病，VGG16是一种16层深度的卷积神经网络（CNN）。该数据集由大脑的MRI图像组成。数据扩充是为了显著增加可用数据的多样性，数据预处理有助于增强所提出方法的整体真实性。

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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来源期刊

Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

2.20

自引率

33.30%

发文量

审稿时长

7.5 months

期刊介绍： The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus