Skip to main content

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-16S-CNN-1S-CNN-2
  True conditionTrue conditionTrue condition
  PositiveNegativePositiveNegativePositiveNegative
PredictedPositive0.887810.167490.797420.052130.777620.06762
ConditionNegative0.112190.832510.202580.947870.222380.93238