AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy
Medical Physics2018Vol. 46(2), pp. 576–589
Citations Over TimeTop 1% of 2018 papers
Wentao Zhu, Yufang Huang, Liang Zeng, Xuming Chen, Yong Liu, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie
Abstract
Deep learning models offer a feasible solution to the problem of delineating OARs from CT images. We demonstrate that our proposed model can improve segmentation accuracy and simplify the autosegmentation pipeline. With this method, it is possible to delineate OARs of a head and neck CT within a fraction of a second.
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