To Detect Normal and Abnormal Neurological Disorder of MRI Image in Human using Convolutional Neural Netwok

Vaishali Tyagi, Anil.k. Ahlawat
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引用次数: 2

Abstract

In todays world many numbers of people are affected with neurological disorder. Neurological disease is a brain abnormalities or brain dysfunction. It affects all age group of people. In past years, the detection of neurological disorder is a very difficult task but now, we are blessed with many medical technologies which are available such as MRI, CT scan and PET. Convolutional neural network is best classifier for image feature extraction without any image segment. In this paper, we detect neurological disorder for normal as well as abnormal brain using brain MRI dataset. To trace the MRI dataset, we select a convolutional neural network algorithm to classify the MRI data for normal and abnormal brain.
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用卷积神经网络检测人体MRI图像的正常与异常神经障碍
当今世界,许多人受到神经系统疾病的影响。神经系统疾病是一种大脑异常或脑功能障碍。它影响所有年龄组的人。在过去的几年里,神经系统疾病的检测是一项非常困难的任务,但现在,我们有幸拥有许多医疗技术,如MRI, CT扫描和PET。卷积神经网络是无图像分割的图像特征提取的最佳分类器。在本文中,我们使用脑MRI数据集来检测正常和异常大脑的神经系统疾病。为了跟踪MRI数据集,我们选择卷积神经网络算法对正常和异常大脑的MRI数据进行分类。
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