Deep learning radiomics nomogram based on multi-regional features for predicting lymph node metastasis and prognosis in colorectal cancer

Figure 7 The clinical-deep learning-radiomics nomogram construction and performance evaluation. A: Is a nomogram for individual prediction of lymph node metastasis risk combined with the deep learning-radiomics integrated model and independent clinical features; B-D: Are the calibration curves of the clinical-deep learning-radiomics nomogram in the training, internal validation and external validation cohorts, respectively; E-G: Are the decision curves of the clinical-deep learning-radiomics nomogram in the training, internal validation and external validation cohorts, respectively. CA 19-9: Carbohydrate antigen 19-9; CEA: Carcinoembryonic antigen; DLRR: Deep learning-radiomics integrated model.