Large-scale empirical evaluation finds that geometric augmentations such as affine, shift-scale-rotate, perspective, and random horizontal flip improve cross-dataset performance in echocardiography segmentation, while aggressive intensity augmentations degrade it.
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EAGT: Echocardiography Augmentation for Generalisability and Transferability
Large-scale empirical evaluation finds that geometric augmentations such as affine, shift-scale-rotate, perspective, and random horizontal flip improve cross-dataset performance in echocardiography segmentation, while aggressive intensity augmentations degrade it.