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Alternate machine validation of early brain tumor detection

机译:早期脑肿瘤检测的交替机器验证

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In this age of modernization, there exists a trend of computerized completely automated trend of living. In such an age, automated diagnostic systems play an essential role, especially for cancer detection. For the detection of cancer, it is quite difficult to detect cancer in an early stage as symptoms appear in the advanced stage. If cancer detection is made possible at early stages, the mortality rate can be greatly reduced. There are various existing techniques for the detection of cancer, but most of the techniques detect cancer at the advanced stage, thereby bringing down the chance of survival of a patient. The early detection of cancer is a challenge because of the overlapped structure of the cancer cells. In this project digital image processing techniques are used for preprocessing of the images and feature extraction process and support vector machine (SVM) and neural network classifier to checking early stage.
机译:在现代化的这个时代,存在一系列计算机化的完全自动化趋势。在这种年龄中,自动诊断系统起着重要作用,特别是对于癌症检测。对于癌症的检测,随着症状出现在晚期阶段,在早期阶段检测癌症是非常困难的。如果在早期阶段进行癌症检测,则可能会大大降低死亡率。有各种现有技术用于检测癌症,但大多数技术在高级阶段检测癌症,从而降低了患者存活的机会。由于癌细胞的重叠结构,早期检测癌症是挑战。在该项目中,数字图像处理技术用于预处理图像和特征提取处理,并支持向量机(SVM)和神经网络分类器以检查早期阶段。

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