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. 2020 Sep 14;40(1):7–22. doi: 10.14366/usg.20102

Fig. 2. Basic components of a convolutional neural network.

Fig. 2.

It consists of convolutional layers performing filtering inputs (A) and pooling layers for down-sampling images (B). Through the training process, the optimal parameters of convolutional weights can be determined.