Fig. 4

Receiver operating characteristic (ROC) curves and area under the curves (AUC) of experiments with different datasets and methods. The ROC curves demonstrated here are the averaged ROC based on the tenfold cross-validation. The averaged AUCs with one standard deviation are computed and listed in the legend area. The blue line, red line, green line, cyan line, magenta line, and the red dashed-line are indicating the nodule malignancy prediction results on the LIDC dataset, In-house dataset with metadata, In-house dataset (pretrained with LIDC), In-house dataset, and In-house dataset (background removed), respectively. Statistical differences were found in 1 LIDC dataset, trained from sketch v.s. In-house dataset, trained from sketch (p-value: 0.0319); 2 LIDC dataset, trained from sketch v.s. In-house dataset, background removed (p-value: 0.0001); 3 In-house dataset, adding fibrosis metadata v.s. In-house dataset, background removed (p-value: 0.0002)