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. 2020 Apr 14;295(3):552–561. doi: 10.1148/radiol.2020192173

Figure 1:

Images show prototype convolutional neural networks (CNNs) evaluated for their performance in generating single-frame (k) and multiframe (kt) super-resolution images. The k-SRNet and kt-SRNet CNNs are examples of shallow networks and k-UNet and kt-UNet are relatively deep CNNs used to perform this task.

Images show prototype convolutional neural networks (CNNs) evaluated for their performance in generating single-frame (k) and multiframe (kt) super-resolution images. The k-SRNet and kt-SRNet CNNs are examples of shallow networks and k-UNet and kt-UNet are relatively deep CNNs used to perform this task.