Classification on Digital Pathological Images of Breast Cancer Based on Deep Features of Different Levels

Figure 2

Method structure. Step1 is that the slicing images are input into CNN for benign-malignant classification. Step 2 obtains three different models for feature extraction according to the trained model of Step1 and combines the extracted features with the machine-learning model to classify benign cancer and malignant cancer.