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Fig. 2 | EURASIP Journal on Image and Video Processing

Fig. 2

From: Palpation localization of radial artery based on 3-dimensional convolutional neural networks

Fig. 2

The whole structure of this 3Dcnn network. The input of this method is video (60 × 2048 × 1088 × 3). Using 3D convolution kernel, a convolution neural network for video processing is constructed. The total number of layers of the network is three, and each layer contains the corresponding convolution layer and pooling layer. Finally, the full connection layer neural network is constructed as the output, and the final output is a two-dimensional array (coordinates)

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