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Fig. 3 | European Journal of Medical Research

Fig. 3

From: Clinico-biological-radiomics (CBR) based machine learning for improving the diagnostic accuracy of FDG-PET false-positive lymph nodes in lung cancer

Fig. 3

Violin plot of 6 prediction models for LN− (blue) and LN + (red) patients in training set (a). The black line running up and down through the violin diagram represented the range from the smallest non-outlier value to the largest non-outlier value. The waterfall plot of the CBR Model was used to visualize the distribution of the Pre-scores of individual LN− and LN + patients (b)

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