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

<div>The workflow of LabelMe. (a) Create dataset on our local computer. (b) Perform annotation and save annotation results on each image by pressing “Save” button. (c) For each image, get a.json file, which contains for the labels created.</div>

Computational and Mathematical Methods in Medicine

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Figure 2: Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images 