Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling
The work proposes a novel uncertainty estimation method based on contouring instead of pixel-wise segmentation for echocardiography. It models uncertainty by predicting contour location uncertainty and then sampling contours to propagate this uncertainty to derived clinical metrics like ejection fraction. This approach combines aleatoric and epistemic uncertainties effectively.