Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Nov 15, 2026; 18(11): 123187
Published online Nov 15, 2026. doi: 10.4251/wjgo.123187
Published online Nov 15, 2026. doi: 10.4251/wjgo.123187
Figure 2 Confusion matrices (top) and receiver operating characteristic curves (bottom) for the VGG19, ResNet50, and InceptionV3 models in the training set.
A: Confusion matrix of the VGG19 model; B: Confusion matrix of the ResNet50 model; C: Confusion matrix of the InceptionV3 model; D: Receiver operating characteristic (ROC) curve of the VGG19 model; E: ROC curve of the ResNet50 model; F: ROC curve of the InceptionV3 model. ROC: Receiver operating characteristic.
- Citation: Dong WH, Ling X, Chen XD, Qian JP, Jin Y, Gu YJ. Establishment and validation of a multimodal model using deep learning for the recognition of early colorectal cancer. World J Gastrointest Oncol 2026; 18(11): 123187
- URL: https://www.wjgnet.com/1948-5204/full/v18/i11/123187.htm
- DOI: https://dx.doi.org/10.4251/wjgo.123187