A Prompt-driven Universal Model for Efficient and Accurate Echocardiography Segmentation Across Multiple Standard Views

A prompt-driven universal model that leverages prompt learning and pixel-text alignment to enable efficient and accurate segmentation of cardiac structures across multiple echocardiography standard views without the need for view identification.