Tumor Detection in Brain MRI using Residual Convolutional Neural Networks

Mohammad Reza Obeidavi, K. Maghooli
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引用次数: 3

Abstract

Brain tumor is one of the complications that has a high mortality rate. Early detection of tumors can help treat this type of cancer. Among tumor detection methods, magnetic resonance imaging (MRI) is a common method. But there is always an attempt to detect the tumor automatically in medical images. Therefore, in this paper, a method for automatic detection of tumor in MRI images with the help of residual neural networks is introduced. By testing the proposed neural network on the BRATS data set, the results show well the efficiency of the proposed method.
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残差卷积神经网络在脑MRI肿瘤检测中的应用
脑肿瘤是死亡率很高的并发症之一。早期发现肿瘤有助于治疗这类癌症。在肿瘤检测方法中,磁共振成像(MRI)是一种常用的方法。但在医学图像中,一直存在对肿瘤自动检测的尝试。因此,本文介绍了一种基于残差神经网络的MRI图像肿瘤自动检测方法。通过在BRATS数据集上对所提神经网络的测试,结果表明了所提方法的有效性。
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