Transfer Learning with Feature Extraction Modules for Improved Classifier Performance on Medical Image Data

Figure 1

The workflow of the model is shown. In the transfer learning procedure, the input passes through GFEM (General Feature Extraction Module) and SFEM (Specific Feature Extraction Module), and the features extracted are passed through a projection head and then to the classifier to give the final output.