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	Improving initial nodal staging of T3 rectal cancer using quantitative image features
	Zhou, Xuezhi2,7; Liu, Zhenyu2,3; Zhang, Dafu4; Wu, Lin5; Sun, Kai7; Shao, Lizhi6; Huang, Liyu7; Li, Zhenhui; Tian, Jie1,2,7
刊名	BRITISH JOURNAL OF SURGERY
	2020-08-31
页码	2
ISSN号	0007-1323
DOI	10.1002/bjs.12027
通讯作者	Zhou, Xuezhi()
资助项目	National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; Beijing Natural Science Foundation[7182109] ; Ministry of Science and Technology of China[2017YFA0205200] ; Youth Innovation Promotion Association CAS[2019136]
WOS研究方向	Surgery
语种	英语
出版者	WILEY
WOS记录号	WOS:000564012800001
资助机构	National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Ministry of Science and Technology of China ; Youth Innovation Promotion Association CAS
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/40546]
专题	自动化研究所_中国科学院分子影像重点实验室
通讯作者	Zhou, Xuezhi
作者单位	1.Beihang Univ, Sch Med & Engn, Beijing Adv Innovat Ctr Big Data Based Precis, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 4.Kunming Med Univ, Yunnan Canc Hosp, Affiliated Hosp 3, Yunnan Canc Ctr,Dept Radiol, Kunming, Yunnan, Peoples R China 5.Kunming Med Univ, Affiliated Hosp 3, Dept Pathol, Yunnan Canc Hosp,Yunnan Canc Ctr, Kunming, Yunnan, Peoples R China 6.Southeast Univ, Sch Comp Sci & Engn, Nanjing, Jiangsu, Peoples R China 7.Xidian Univ, Sch Life Sci & Technol, Engn Res Ctr Mol & Neuro Imaging, Minist Educ, Xian, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Xuezhi,Liu, Zhenyu,Zhang, Dafu,et al. Improving initial nodal staging of T3 rectal cancer using quantitative image features[J]. BRITISH JOURNAL OF SURGERY,2020:2.
APA	Zhou, Xuezhi.,Liu, Zhenyu.,Zhang, Dafu.,Wu, Lin.,Sun, Kai.,...&Tian, Jie.(2020).Improving initial nodal staging of T3 rectal cancer using quantitative image features.BRITISH JOURNAL OF SURGERY,2.
MLA	Zhou, Xuezhi,et al."Improving initial nodal staging of T3 rectal cancer using quantitative image features".BRITISH JOURNAL OF SURGERY (2020):2.

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