MRI‐Based Deep‐Learning Model for Distant Metastasis‐Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma-Reference-Cited by-全球学者库

MRI‐Based Deep‐Learning Model for Distant Metastasis‐Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma

Published:2020-08-09 Issue:1 Volume:53 Page:167-178
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Zhang Lu¹,Wu Xiangjun²³,Liu Jing¹,Zhang Bin¹,Mo Xiaokai¹,Chen Qiuying¹,Fang Jin¹,Wang Fei¹,Li Minmin¹,Chen Zhuozhi¹,Liu Shuyi¹,Chen Luyan¹,You Jingjing¹,Jin Zhe¹,Tang Binghang⁴,Dong Di²³,Zhang Shuixing¹^ORCID

Affiliation:

1. Department of Radiology The First Affiliated Hospital of Jinan University Guangzhou China

2. School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China

3. CAS Key Lab of Molecular Imaging, Institute of Automation Chinese Academy of Sciences Beijing China

4. Department of Radiology Zhongshan Hospital of Sun Yat‐sen University Zhongshan China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.27308

Reference39 articles.

1. Quantification of Plasma Epstein–Barr Virus DNA in Patients with Advanced Nasopharyngeal Carcinoma

2. Nasopharyngeal Carcinoma

3. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

4. Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study

5. Evaluation of circulating EBV microRNA BART2-5p in facilitating early detection and screening of nasopharyngeal carcinoma

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