Figure 5 | Scientific Reports

Figure 5

From: Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules

Figure 5

Time-dependent AUC under four different longitudinal sub-models in the joint model for time interval (t, t + 3] (next 3 months, left panel), (t, t + 12] (next 12 months, middle panel), and (t, t + 24] (next 24 months, right panel) given the longitudinal LCP CNN scores to t = 3, 6, 12, and 24 months. The sub-model that includes the longitudinal LCP CNN scores plus the change rate performed the best among the four sub-models. Last value—last LCP CNN score, value—longitudinal LCP CNN score, slope—rate of change in LCP CNN score, value + slope—longitudinal LCP CNN score plus rate of change in LCP CNN score.

Back to article page