Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data
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DOI: 10.1109/tmi.2021.3107198
Abstract: Conventional delay-and-sum (DAS) beamforming is highly efficient but also suffers from various sources of image degradation. Several adaptive beamformers have been proposed to address this problem, including more recently proposed deep learning methods. With deep… read more here.
Keywords: vivo data; domain shift; unlabeled vivo; domain ... See more keywords