T2-weighted imaging-based radiomic-clinical machine learning model for predicting the differentiation of colorectal adenocarcinoma

Figure 8 Receiver operating characteristic curves of the radiomic model, clinical model and radiomic-clinical model. A: The area under the curve (AUC) of the three models (clinical, radiomic, and radiomic-clinical model) in the training cohort were 0.751 (95%CI: 0.661-0.842), 0.796 (95%CI: 0.723-0.869), and 0.862 (95%CI: 0.796-0.927), respectively. B: The AUC of the three models (clinical, radiological, and radiomic-clinical model) in the validation cohort were 0.676 (95%CI: 0.525-0.827), 0.735 (95%CI: 0.604-0.866), and 0.761 (95%CI: 0.635-0.887), respectively. ROC: Receiver operating characteristic; AUC: Area under the curve.