Estimation of TP53 mutations for endometrial cancer based on diffusion-weighted imaging deep learning and radiomics features
A prediction model based on the GP algorithm and consisting of DL and radiomics features of DWI as well as clinical variables can effectively assess TP53 mutation in EC.
Authors
- Yaping Wu (ORCID: https://orcid.org/0000-0002-2979-5332)
- Shewei Dou
- Tianyun Yang (ORCID: https://orcid.org/0009-0007-4002-5834)
- Fengshan Yan
- Lei Shen (ORCID: https://orcid.org/0000-0003-2166-2962)
- Bo Dai (ORCID: https://orcid.org/0000-0002-2204-670X)
Institutions
- Zhengzhou University (CN)
- Henan Provincial People's Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1186/s12885-025-13424-5
- Citations
- 9
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 12.24