Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images

<div>Test example of assessment of MR severity. (a–d) The MR images obtained by the quantitative evaluation methods of 2017 ASE guidelines. (e–h) The grading result obtained by the Mask R-CNN algorithm. The confident scores for the four cases were 0.987, 0.986, 0.997, and 1.000, respectively.</div>

Computational and Mathematical Methods in Medicine

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Figure 6

Figure 6: Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images 