AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy

Zhu, Wentao; Huang, Yufang; Zeng, Liang; Chen, Xuming; Liu, Yong; Qian, Zhen; Du, Nan; Fan, Wei; Xie, Xiaohui

doi:10.1002/mp.13300

Public

AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy

Published in Medical Physics • Nov 27, 2018

Authors:

Wentao Zhu

Yufang Huang

Liang Zeng

Abstract

PURPOSE: Radiation therapy (RT) is a common treatment option for head and neck (HaN) cancer. An important step involved in RT planning is the delineation of organs-at-risks (OARs) based on HaN computed tomography (CT). However, manually delineating OARs is time-consuming as each slice of CT images n...

Subject

Segmentation

Computer science

Artificial intelligence

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