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Fig. 3 | BMC Cancer

Fig. 3

From: Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)

Fig. 3

The entire cohort. A) Area under the receiver operating characteristics curve (AUC) visualizing discriminatory performance of noninvasive lymph node staging (NILS) model for the estimation of axillary disease (N+). B) The Hosmer–Lemeshow calibration plot of observed proportion N+ versus mean predicted probability of N+ for each decile of the predictions. Locally weighted scatterplot smoothing (LOWESS), the dotted line, was used to capture the calibration performance for low probabilities of N+ , i.e. within the red box

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