Copyright
©The Author(s) 2024.
World J Clin Cases. Sep 16, 2024; 12(26): 5908-5921
Published online Sep 16, 2024. doi: 10.12998/wjcc.v12.i26.5908
Published online Sep 16, 2024. doi: 10.12998/wjcc.v12.i26.5908
Figure 1 Technology roadmap for this research.
A: Flow chart of patient enrollment; B: Workflow of radiomics analysis process. AUC: Area under the curve; DT: Decision tree; EC: Endometrial cancer; KNN: K-nearest neighbor; LDA: Linear discriminant analysis; LR: Logistic regression; MRI: Magnetic resonance imaging; MSE: Mean-square error; RF: Random forest; ROC: Receiver operating characteristic; ROI: Region of interest.
- Citation: Wei ZY, Zhang Z, Zhao DL, Zhao WM, Meng YG. Magnetic resonance imaging-based radiomics model for preoperative assessment of risk stratification in endometrial cancer. World J Clin Cases 2024; 12(26): 5908-5921
- URL: https://www.wjgnet.com/2307-8960/full/v12/i26/5908.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i26.5908