Fig. 5From: Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factorsClassification accuracy of Inception v3, ResNet101, and DenseNet201 convolutional neural network on calcified plaques with motion artifacts in the velocity from 0 to 60Â mm/sBack to article page