A recurrent aggregation network using ConvLSTMs and dual segmentation-classification branches achieves superior accuracy and temporal stability on multi-view echo datasets.
IEEE Transactions on Biomedical Engineering 64(8), 1886–1895 (2017)
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Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
A recurrent aggregation network using ConvLSTMs and dual segmentation-classification branches achieves superior accuracy and temporal stability on multi-view echo datasets.