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Ahus-AIM/CardiacUDC-beamspace

CardiacUDC in EchoXFlow format The CardiacUDC echocardiography dataset from the GraphEcho paper in the EchoXFlow Croissant + Zarr format, together with the labelled videos of CardiacNet that CardiacUDC does not contain: 300 apical four-chamber (A4C) cines, 30,673 frames, with the released pixel-level masks of the left ventricle, right ventricle, left atrium and right atrium. It opens with the EchoXFlow code (paper). This is an independent conversion, separate from the authors'… See the full description on the dataset page: https://huggingface.co/datasets/Ahus-AIM/CardiacUDC-beamspace.

Author / organizationAhus-AIM
License (as declared)cc-by-nc-4.0
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Created16 October 2026
Last updated at source16 October 2026
echocardiographyultrasoundsegmentationmedical-imagingdomain-adaptationcroissant
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