IEEE - Institute of Electrical and Electronics Engineers, Inc. - Organ at Risk Segmentation in Head and Neck CT Images Using a Two-Stage Segmentation Framework Based on 3D U-Net

Author(s): Yueyue Wang ; Liang Zhao ; Manning Wang ; Zhijian Song
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 2169-3536
DOI: 10.1109/ACCESS.2019.2944958
Regular:

Accurate segmentation of organs at risk (OARs) plays a critical role in the treatment planning of image-guided radiotherapy of head and neck cancer. This segmentation task is challenging for both... View More

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