Table 2.
Number of correctly predicted bladder cancer treatment response assessment of the test set at an operating point determined using the training set.
DL-CNN | RF-SL | RF-ROI | Radiologist 1 | Radiologist 2 | |
---|---|---|---|---|---|
Complete Response (Sensitivity) | 6/12 (50%) | 6/12 (50%) | 8/12 (66.7%) | 11/12 (91.7%) | 11/12 (91.7%) |
Non-complete Response (Specificity) | 34/42 (81.0%) | 33/42 (78.6%) | 23/42 (54.8%) | 18/42 (42.9%) | 16/42 (38.1%) |
DL-CNN: Deep-learning convolution neural network. RF-SL: Radiomics features extracted from segmented lesions. RF-ROI: Radiomics features extracted from pre- and post-treatment paired ROIs.