Skip to main content
Fig. 8 | Cancer Imaging

Fig. 8

From: Radiomics models for diagnosing microvascular invasion in hepatocellular carcinoma: which model is the best model?

Fig. 8

Decision Curve Analysis for LASSO+GBDT, LASSO+K-NN, LASSO+RF, PCA+DT, and PCA+RF. The X-axis represents the threshold probability and the Y-axis represents the net benefit. The LASSO+GBDT method is better than other methods when the threshold probability is greater than 0.22. Under those conditions, the model established by LASSO+GBDT will be more effective in diagnosing MVI

Back to article page