Copyright
©The Author(s) 2022.
World J Clin Oncol. Nov 24, 2022; 13(11): 918-928
Published online Nov 24, 2022. doi: 10.5306/wjco.v13.i11.918
Published online Nov 24, 2022. doi: 10.5306/wjco.v13.i11.918
Table 3 Features and results of methods 1 to 5
| Method 1 | Method 2 | Method 3 | Method 4 | Method 5 | |
| Feature set used | Arterial phase | Portovenous phase | Equilibrium phase | Selected features from all phases | Selected features put through recursive pruning |
| Classification accuracy (%) | 81.4 | 84.7 | 70 | 85.5 | 87.8 |
- Citation: Sim JZT, Hui TCH, Chuah TK, Low HM, Tan CH, Shelat VG. Efficacy of texture analysis of pre-operative magnetic resonance imaging in predicting microvascular invasion in hepatocellular carcinoma. World J Clin Oncol 2022; 13(11): 918-928
- URL: https://www.wjgnet.com/2218-4333/full/v13/i11/918.htm
- DOI: https://dx.doi.org/10.5306/wjco.v13.i11.918