Table 1 Performances of bladder cancer treatment response assessment in the test set.

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

 

DL-CNN

RF-SL

RF-ROI

Radiologist 1

Radiologist 2

AUC

0.73 ± 0.08

0.77 ± 0.08

0.69 ± 0.08

0.76 ± 0.08

0.77 ± 0.07

  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. The area under the curve (AUC) is shown with the standard deviations.
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