Recognition of esophagitis in endoscopic images using transfer learning

Table 1 Synthesis of the model’s structure

Type of layer	Brief description	Number of parameters
Functional	Instantiates the DenseNet-201 architecture with average pooling of the output	18321984
Dense	One unit with sigmoid activation	1921

The functional layer instantiates the DenseNet-201 architecture, thus aggregating all its layers. The dense layer outputs the final binary classification of the model.