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Table 1 Cross-validated results for automated CNN four-class Perugini grade classification

From: Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images

  AUC ACC Grade 0 Grade 1 Grade 2 Grade 3
Precis Recall Precis Recall Precis Recall Precis Recall
Linear 0.86 0.66 0.86 0.68 0.37 0.59 0.29 0.61 0.91 0.83
Residual 0,86 0,67 0,88 0,68 0,40 0,65 0,22 0,65 0,83 0,83
VGG16 0.87 0.74 0.83 0.83 0.44 0.45 0.46 0.57 1.00 0.79
ResNet50 0.78 0.66 0.81 0.78 0.33 0.31 0.11 0.04 0.20 0.76
InceptionV3 0.75 0.62 0.80 0.70 0.30 0.40 0.06 0.13 0.59 0.64
MobileNet 0.76 0.74 0.76 0.97 0.42 0.07 0.00 0.00 1.00 0.17
  1. ACC = accuracy; AUC = area under the curve; Precis = precision