©The Author(s) 2025.
World J Gastrointest Oncol. Dec 15, 2025; 17(12): 114037
Published online Dec 15, 2025. doi: 10.4251/wjgo.v17.i12.114037
Published online Dec 15, 2025. doi: 10.4251/wjgo.v17.i12.114037
Figure 3 Receiver operating characteristic and decision curve analysis curves for clinical features.
A and B: The pink, dark blue, and cyan colors represent the RandomForest, ExtraTrees, and multi-layer perceptron models in the training and validation sets. AUC: Area under the curve; MLP: Multi-layer perceptron.
- Citation: Huang LH, Fang YJ, Zheng XJ, Huang C, Li CL, Yu B, Huang MJ, Qin SJ, Huang DY, Lu DW. Application of multimodal fusion technology in early recurrence prediction and pathological analysis of hepatocellular carcinoma. World J Gastrointest Oncol 2025; 17(12): 114037
- URL: https://www.wjgnet.com/1948-5204/full/v17/i12/114037.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v17.i12.114037