Table 2 Number of correctly predicted bladder cancer treatment response assessment of the test set at an operating point determined using the training set.

From: Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

 

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%)

  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.
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