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Fig. 5 | BioMedical Engineering OnLine

Fig. 5

From: Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images

Fig. 5

Intermediate 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 ROI

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