机构:[a]College of Computer Science, Software Engineering, Shenzhen University, China[b]Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, Guangdong Province, China[c]Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, China四川省人民医院四川省肿瘤医院[d]Radiation Oncology Key Laboratory, Sichuan Province Chengdu, Sichuan province, China[e]School of economic information engineering, Southwestern university of finance and economics, Chengdu, Sichuan province, China
ACKNOWLEDGMENT The work is supported by National Natural Science Foundation of China (Grant No. 61702337, 61672357 and U1713214) and the Science and Technology Funding of Guangdong Province (2018A050501014). Guangzhou Panyu Science and Technology Project, (Grant No. 2019-Z04-48)
语种:
外文
被引次数:
WOS:
第一作者:
第一作者机构:[a]College of Computer Science, Software Engineering, Shenzhen University, China
通讯作者:
通讯机构:[a]College of Computer Science, Software Engineering, Shenzhen University, China[b]Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, Guangdong Province, China[c]Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, China[d]Radiation Oncology Key Laboratory, Sichuan Province Chengdu, Sichuan province, China
推荐引用方式(GB/T 7714):
Zhihao Jin,Xuechen Li,Linlin Shen,et al.Automatic primary gross tumor volume segmentation for nasopharyngeal carcinoma using ResSE-UNet[J].2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020).2020,585-590.doi:10.1109/CBMS49503.2020.00116.
APA:
Zhihao Jin,Xuechen Li,Linlin Shen,Jinyi Lang,Jie Li...&Jiang Duan.(2020).Automatic primary gross tumor volume segmentation for nasopharyngeal carcinoma using ResSE-UNet.2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020),,
MLA:
Zhihao Jin,et al."Automatic primary gross tumor volume segmentation for nasopharyngeal carcinoma using ResSE-UNet".2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020) .(2020):585-590