Fig. 1

Schematic Illustration of our methodology. The input data was first unified into the same size 288*288. Then, the ROI-CNN identified the tumor region from the breast ultrasound image. The outputs of the ROI-CNN can be further improved by the refinement procedure. Finally, the G-CNN learned the differentiation of the input and rigorously classified the tumor into one of three categories (Category 3, Category 4, and Category 5), where Category 4 could be divided into three subcategories (Category 4A, Category 4B, and Category 4C)