Figure 2 | Scientific Reports

Figure 2

From: Assessment of clinical radiosensitivity in patients with head-neck squamous cell carcinoma from pre-treatment quantitative ultrasound radiomics

Figure 2

ROC plots of predictive models for different endpoints developed using spectral and texture features alone (upper row) and those developed using all the spectral, texture, and texture-derivate features (lower row). The endpoints considered are 3-month complete responder versus partial responder/non-responder (a,c), late responder versus persistent/progressive disease (b,d). Three standard classification algorithms that include FLD, KNN, and SVM-RBF were evaluated as indicated in the inset legend. The classification models that include texture-derivate features (lower row) achieved higher AUC values in general compared to those developed without texture-derivate features.

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