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Fig. 1 | European Radiology Experimental

Fig. 1

From: Inferring FDG-PET-positivity of lymph node metastases in proven lung cancer from contrast-enhanced CT using radiomics and machine learning

Fig. 1

Flowchart: balancing, feature selection, bagging. AUC Area under the curve, FSM Feature selection method, LDA Linear discriminant analysis, MI Mutual information, MLP Multilayer perceptron (neuronal network), MRMI Maximum relevance minimum redundancy, PET Positron emission tomography, PLS Partial least squares, Rpart Recursive partition, SVM Support vector machine

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