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Table 1 Recognition performance measures by stone composition type for ResNet-101 CNN

From: Predicting stone composition via machine-learning models trained on intra-operative endoscopic digital images

Stone composition type

Precision

Recall

f1-score

support

W2 + U

1.00

1.00

1.00

24

U

1.00

0.98

0.99

57

W1

0.99

0.99

0.99

142

W1 + W2

1.00

1.00

1.00

82

W1 + CH

1.00

1.00

1.00

20

CH

1.00

1.00

1.00

131

W2

0.97

1.00

0.98

29