Table 9.

Quantitative results associated with different nodule detection methods on LUNA16 dataset.

Methods	Accuracy	Sensitivity	Specificity	AUC
3D-FCN	0.8975	0.8261	0.9295	0.9027
MRCNN	0.9162	0.8487	0.9371	0.9173
3D-UNET	0.9176	0.8516	0.9394	0.9259
PRN-HSN	0.9286	0.8782	0.9430	0.9371
DCNN	0.9170	0.8496	0.9388	0.9195
CLAHE-SVM	0.9251	0.8672	0.9415	0.9328
Mask-RCNN	0.9291	0.8806	0.9447	0.9396
proposed	0.9390	0.8988	0.9476	0.9615