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A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas

Crossref DOI link: https://doi.org/10.1038/s41374-020-0472-x

Published Print: 2021-04

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Luo, Huigao

Zhuang, Qiyuan https://orcid.org/0000-0001-5937-5024
Wang, Yuanyuan

Abudumijiti, Aibaidula

Shi, Kuangyu

Rominger, Axel

Chen, Hong

Yang, Zhong

Tran, Vanessa

Wu, Guoqing

Li, Zeju

Fan, Zhen https://orcid.org/0000-0002-7771-2378
Qi, Zengxin

Guo, Yuxiao

Yu, Jinhua https://orcid.org/0000-0002-0654-6034
Shi, Zhifeng
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (91959127)

National Natural Science Foundation of China (2015CB755500)

National Natural Science Foundation of China (81702471)

Shanghai Municipal Health Bureau (2018ZHYL0107)

Science and Technology Commission of Shanghai Municipality (2018SHZDZX01)
License Information

Text and Data Mining valid from 2021-04-01

Text and Data Mining valid from 2021-04-01

Version of Record valid from 2023-01-11
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This article is maintained by: Elsevier

Article Title: A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas

Journal Title: Laboratory Investigation

CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41374-020-0472-x

Content Type: article

Copyright: © 2020 United States & Canadian Academy of Pathology.