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Table 3 The results of the experiments using SVK_MA on different datasets

From: Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention

Dataset

Accuracy

Precision

Recall

F1

D1

0.940

0.941

0.940

0.939

D2

0.870

0.876

0.868

0.868

D3

0.609

0.760

0.610

0.544