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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-16S-CNN-1S-CNN-2
  True conditionTrue conditionTrue condition
  PositiveNegativePositiveNegativePositiveNegative
PredictedPositive0.966290.204770.961460.194280.965950.21611
ConditionNegative0.033710.795230.038540.805720.034050.78389