Copyright
©The Author(s) 2024.
World J Gastrointest Oncol. Mar 15, 2024; 16(3): 857-874
Published online Mar 15, 2024. doi: 10.4251/wjgo.v16.i3.857
Published online Mar 15, 2024. doi: 10.4251/wjgo.v16.i3.857
Figure 6 The radiomics nomogram and calibration curves for the radiomics nomogram.
A: The radiomics nomogram combining intratumor necrosis, main tumor size, and radiomics score, was developed on the training set; B: Calibration curves for the radiomics nomogram on the training set; C: Calibration curves for the radiomics nomogram on the internal test set; D: Calibration curves for the radiomics nomogram on the external test set.
- Citation: Zhang C, Zhong H, Zhao F, Ma ZY, Dai ZJ, Pang GD. Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography. World J Gastrointest Oncol 2024; 16(3): 857-874
- URL: https://www.wjgnet.com/1948-5204/full/v16/i3/857.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i3.857