A prediction model based on deep learning and radiomics features of <scp>DWI</scp> for the assessment of microsatellite instability in endometrial cancer
The predictive model based on DWI features extracted from DL and radiomics combined with clinical parameters and ADC values could effectively assess the MSI status in EC.
Authors
- Wei Liu (ORCID: https://orcid.org/0000-0002-6112-1995)
- Minghua Wang (ORCID: https://orcid.org/0000-0003-2783-2977)
- Meng Zhang (ORCID: https://orcid.org/0000-0003-4935-4005)
- Yuxia Li (ORCID: https://orcid.org/0000-0001-7313-0170)
- Jing Wang (ORCID: https://orcid.org/0000-0002-0937-6456)
- Xi Zeng (ORCID: https://orcid.org/0000-0002-7848-7934)
- Nanshan Chen
- Pujiao Song
Institutions
- Guiyang Medical University (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
- First Affiliated Hospital of Xinxiang Medical University (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1002/cam4.70046
- Citations
- 11
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.45
Funders
- Xinxiang Medical University