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Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy

机译:监督模式识别,用于通过多元磁共振成像和光谱学预测脑肿瘤中增强对比的外观

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摘要

features. Similar results were obtained with non-binary weights, but using a larger number of features. Overfitting was also observed in the higher bit representations. The best single-variable classifier, based on a choline-to-NAA abnormality index compu
机译:特征。使用非二进制权重可获得相似的结果,但是使用了大量特征。在较高位表示中也观察到过拟合。最好的单变量分类器,基于胆碱到NAA异常指数的计算

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