Table 10.
Quantitative results associated with different nodule detection methods on TianChi dataset.
Methods | Accuracy | Sensitivity | Specificity | AUC |
---|---|---|---|---|
3D-FCN | 0.9087 | 0.8358 | 0.9387 | 0.9136 |
MRCNN | 0.9259 | 0.8568 | 0.9468 | 0.9261 |
3D-UNET | 0.9297 | 0.8607 | 0.9498 | 0.9339 |
PRN-HSN | 0.9356 | 0.8853 | 0.9547 | 0.9462 |
DCNN | 0.9288 | 0.8598 | 0.9485 | 0.9287 |
CLAHE-SVM | 0.9353 | 0.8781 | 0.9542 | 0.9407 |
Mask-RCNN | 0.9389 | 0.8913 | 0.9596 | 0.9579 |
proposed | 0.9475 | 0.9036 | 0.9655 | 0.9722 |