Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis

Figure 1 Examples of dataset.

Figure 2 Architecture of our convolutional neural network model.

Formula 1 

Figure 3 Receiver operating characteristic curves and AUC values for the binary classification of the plain scan using the convolutional neural network model. Each trainee’s prediction is represented by a single green point. The blue point is the average prediction of them. Each gastroenterologist’s prediction is represented by a single brown point. The red point is the average prediction of them. ROC: Receiver operating characteristic.