HIGHLIGHTS
SUMMARY
The initial step is to use a convolutional neural_network (CNN) to remove noise from the images without estimating the local noise level. The developed deep convolutional neural_networks (DCNNs) have shown higher performances in numerous medical segmentation tasks. The derivatives of network backpropagation are used to assess deep neural_network gradients because they are transferred layer-wise from the final to the initial layer. Milletari et_al proposed a segmentation method using the Hough convolutional neural_network (CNN), which is based on the Hough vote, a technique for automatically localizing and segmenting anatomies of interest. According to recent . . .
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