Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Apr 15, 2026; 18(4): 115635
Published online Apr 15, 2026. doi: 10.4251/wjgo.v18.i4.115635
Published online Apr 15, 2026. doi: 10.4251/wjgo.v18.i4.115635
Figure 6 Confusion matrix of patient-level models in the training, internal validation and external validation cohorts, respectively.
A-C: Clinical model; D-F: Deep learning-radiomics integrated model; G-I: Combined model. Positive represents lymph node metastasis status; negative represents non-lymph node metastasis status. DLRR: Deep learning-radiomics integrated model; Combined: The clinical-deep learning-radiomics model.
- Citation: Lei XD, Qian GX, Sun ZG, Tang ZQ, Liu YC, Du R, Li YH. Deep learning radiomics nomogram based on multi-regional features for predicting lymph node metastasis and prognosis in colorectal cancer. World J Gastrointest Oncol 2026; 18(4): 115635
- URL: https://www.wjgnet.com/1948-5204/full/v18/i4/115635.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v18.i4.115635