Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis

arXiv:2404.05916v1 Announce Type: new
Abstract: Echocardiography segmentation for cardiac analysis is time-consuming and resource-intensive due to the variability in image quality and the necessity to process scans from various standard views. While current automated segmentation methods in echocardiography show promising performance, they are trained on specific scan views to analyze corresponding data. However, this solution has a limitation as the number of required models increases with the number of standard views. To address this, in this paper, we present a …

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