Skip to main content

Table 4 Normalized Confusion Matrix for VGG-16, S-CNN-1 and S-CNN-2 segmenting the MR images for 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

0.96629

0.20477

0.96146

0.19428

0.96595

0.21611

Condition

Negative

0.03371

0.79523

0.03854

0.80572

0.03405

0.78389