Copyright: ©Author(s) 2026.
World J Gastroenterol. Dec 14, 2026; 32(46): 124166
Published online Dec 14, 2026. doi: 10.3748/wjg.124166
Published online Dec 14, 2026. doi: 10.3748/wjg.124166
Figure 4 Receiver operating characteristic curves of the best performing models across different feature types in training, internal validation, and external validation cohort.
A: Training; B: Internal validation; C: External validation cohort. RD: Radiomics-deep learning; CRD: Clinical-radiomics-deep learning; AUC: Area under the curve; TPR: True positive rate; FPR: False positive rate.
- Citation: Zhao BX, Zhang M, Fu WQ, Li XY, Han ML, Zhang J, Gao W, Guo TH, Li HY, Ai SW, Wang HJ, Zhang BY, Wang Q. Radiomics and deep learning predict neoadjuvant immunochemotherapy response in locally advanced esophageal squamous cell carcinoma. World J Gastroenterol 2026; 32(46): 124166
- URL: https://www.wjgnet.com/1007-9327/full/v32/i46/124166.htm
- DOI: https://dx.doi.org/10.3748/wjg.124166