Automated delineation of nasopharynx gross tumor volume for nasopharyngeal carcinoma by plain CT combining contrast-enhanced CT using deep learning-Reference-Cited by-同舟云学术

Automated delineation of nasopharynx gross tumor volume for nasopharyngeal carcinoma by plain CT combining contrast-enhanced CT using deep learning

Published:2020-01-01 Issue:1 Volume:13 Page:568-577
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Wang Xuetao¹,Yang Geng¹,Zhang Yiwen²,Zhu Lin¹,Xue Xiaoguang¹,Zhang Bailin¹,Cai Chunya¹,Jin Huaizhi¹,Zheng Jianxiao¹,Wu Jian³,Yang Wei²^ORCID,Dai Zhenhui^ORCID

Affiliation:

1. Department of Radiotherapy, The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China

2. School of Biomedical Engineering, Southern Medical University, Guangzhou, China

3. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

Funder

Ministry of Education Industry-Academic Cooperation

Guangdong medical scientific research foundation

Knowledge Innovation Program of Basic Research Projects of Shenzhen

Youth Committee of Medical Engineering Branch of Guangdong Medical Association Research

Guangdong Science and Technology Plan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/16878507.2020.1795565

Reference30 articles.

1. A review of atlas-based segmentation for magnetic resonance brain images

2. The Enigmatic Epidemiology of Nasopharyngeal Carcinoma

3. Reduce in Variation and Improve Efficiency of Target Volume Delineation by a Computer-Assisted System Using a Deformable Image Registration Approach

4. Nasopharyngeal carcinoma

5. 3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning

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