基于卷积神经网络的MR图像脑肿瘤检测模型

C. Someswararao, Shiva Shankar Reddy, S. V. Appaji, Vmnssvkr Gupta
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引用次数: 9

摘要

大脑细胞的异常发育导致脑瘤,可能导致死亡。早期发现肿瘤可降低死亡率。检测脑部肿瘤最常用的方法是使用磁共振成像(MRI)。考虑磁共振成像,因为它给出了肿瘤的清晰结构。本文提出了一种利用机器学习算法特别是CNN模型从MR图像中检测肿瘤的新机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain Tumor Detection Model from MR Images using Convolutional Neural Network
The anomalous development of cells in brain causes brain tumor that may lead to death. The rate of deaths can be reduced by early detection of tumor. Most common method to detect the tumor in brain is the use of Magnetic Resonance Imaging (MRI). MR images are considered because it gives a clear structure of the tumor. In this paper we proposed an novel mechanism for detecting tumor from MR image by applying machine learning algorithms especially with CNN model.
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