Application of convolutional neural network-based endoscopic imaging in esophageal cancer or high-grade dysplasia: A systematic review and meta-analysis

Figure 3 Summary of the receiver operating characteristic, forest plots, and univariable meta-regression plot of convolutional neural network for the diagnosis of esophageal cancer or high-grade dysplasia based on still images. A: Summary of the receiver operating characteristic of convolutional neural network (CNN) for the diagnosis of esophageal cancer or high-grade dysplasia (HGD) based on still images; B: Coupled forest plots for the sensitivity and specificity of CNN in the diagnosis of esophageal cancer or HGD based on still images; C: Univariable meta-regression plot of CNN for the diagnosis of esophageal cancer or HGD based on still images. CI: Confidence interval; SROC: Summary receiver operating characteristic.