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. 2020 Jun;10(6):1249–1264. doi: 10.21037/qims-19-982

Table 3. Performance comparison between our methods and the state-of-the-art methods.

Method Accuracy (%) Total parameters
Proposed CNN + GAN 60.5±2.6 55 k
2D DenseNet 42.2±5.5 116 k
3D DenseNet 60.2±4.6 405 k
3D DenseSharp Network 60.7±5.5 599 k

Italic values indicate the best performance in each column. CNN, convolutional neural network; GAN, generative adversarial network.