SSL representations for echo LV segmentation and EF estimation recover substantially more task information with expressive downstream probes than with heuristic extraction, nearing supervised U-Net performance on EchoNet-Dynamic.
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Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation
SSL representations for echo LV segmentation and EF estimation recover substantially more task information with expressive downstream probes than with heuristic extraction, nearing supervised U-Net performance on EchoNet-Dynamic.