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Table 6 Normalized Confusion Matrix for VGG-16, S-CNN-1 and S-CNN-2 segmenting the ROIs detected by the R-CNN-1 from the MR images of the test set

From: A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

  

VGG-16

S-CNN-1

S-CNN-2

  

True condition

True condition

True condition

  

Positive

Negative

Positive

Negative

Positive

Negative

Predicted

Positive

0.88781

0.16749

0.79742

0.05213

0.77762

0.06762

Condition

Negative

0.11219

0.83251

0.20258

0.94787

0.22238

0.93238