Brain Tumor Detection Using MRI Images

Girish Agrawal, Gaurav Agrawal, Manish Singh, Pratibha Kokardekar
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引用次数: 2

Abstract

Brain Tumor being one of the global cause of early age death in people ,have been a concern for researcher , Brain Tumor is a disease where brain cell start multiplying themselves in a harmful manner which affects brain from functioning . Predicting brain tumor using medical image processing is demanding need in this domain. Magnetic resonance imaging (MRI) is broadly used technique for investigating untypical and divergent information varying from studying the growth of the brain to detect different disorders. So, with the help of MRI images and machine learning algorithm the proposed system in this paper recognize the targeted cluster and separate it efficiently . This paper will cover some of the basic methods used to detect brain and make a comparison between these methods. Finally, it will talk about the process followed in detecting brain tumor using k-means clustering algorithm
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利用MRI图像检测脑肿瘤
脑肿瘤是导致人类过早死亡的全球原因之一,一直是研究人员关注的问题。脑肿瘤是一种脑细胞开始以有害的方式繁殖,影响大脑功能的疾病。利用医学图像处理技术预测脑肿瘤是该领域的迫切需要。磁共振成像(MRI)是一种广泛应用于研究非典型和不同信息的技术,从研究大脑的生长到检测不同的疾病。因此,本文提出的系统借助MRI图像和机器学习算法对目标聚类进行有效识别和分离。本文将介绍一些用于检测大脑的基本方法,并对这些方法进行比较。最后,将讨论使用k-means聚类算法检测脑肿瘤的过程
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来源期刊
International Journal of Next-Generation Computing
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