Segmentation of organs‐at‐risks in head and neck <scp>CT</scp> images using convolutional neural networks

Short summary

A deep learning-based algorithm using convolutional neural networks (CNNs) achieved comparable or superior segmentation accuracy for most organs-at-risks (OARs) in head and neck CT images compared to state-of-the-art methods and commercial software.

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