Integrated analysis of radiomics, RNA, and clinicopathologic phenotype reveals biological basis of prognostic risk stratification in colorectal cancer
(c) 2024 The Authors. Published by Elsevier B.V. and Science China Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Authors
- Leonard Wee (ORCID: https://orcid.org/0000-0003-1612-9055)
- Ke Zhao (ORCID: https://orcid.org/0000-0002-5106-2207)
- Zhenhui Li (ORCID: https://orcid.org/0000-0001-7221-2588)
- Suyun Li (ORCID: https://orcid.org/0000-0003-1634-7992)
- Xin Huang (ORCID: https://orcid.org/0000-0001-8584-0284)
- Xiaobo Chen
- Xin Chen (ORCID: https://orcid.org/0000-0003-3668-4830)
- Yanqi Huang (ORCID: https://orcid.org/0000-0002-0286-3964)
- André Dekker
- Su Yao (ORCID: https://orcid.org/0000-0001-9808-1184)
- Yanting Liang (ORCID: https://orcid.org/0000-0003-4892-8265)
- Zaiyi Liu (ORCID: https://orcid.org/0000-0002-9307-8522)
- Yun Mao (ORCID: https://orcid.org/0000-0002-3326-4729)
Institutions
- Kunming Medical University (CN)
- Guangzhou First People's Hospital (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Maastro Clinic (NL)
- Southern Medical University (CN)
- Chongqing Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Science Bulletin
- Published
- 2024-10-12
- DOI
- https://doi.org/10.1016/j.scib.2024.10.005
- Citations
- 11
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.45
Funders
- China National Funds for Distinguished Young Scientists