Fig. 3

The entire process of the AMSNet framework. a displays the image preprocessing stage. The dataset is then divided in b. In c, the training set data are expanded. In d, the weight of the epoch with the best performance in the validation set during the training phase is saved. In e, the performance of the model is evaluated in the test set