Fig. 5From: Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound imagesIntermediate and the end results of our grading scheme. The first row refers to the ultrasound images with uniform size. According to the test images in the first row, ROI-CNN predicts the possible rough ROI, which is shown in the second row. The third row illustrates the refined ROI based on the output of the ROI-CNN, where the green curves correspond to the contours determined by the three physicians, the blue curves denote the contours from the ROI-CNN output, and the red curves represent the refined contours based on the blue curves. The last row shows the predictions of the G-CNN with the refined ROIBack to article page