EAGT: Echocardiography Augmentation for Generalisability and Transferability

In three linesComparative study of 29 data augmentation techniques for 2D echocardiography segmentation on U-Net. Anatomically plausible geometric transformations (affine, shift-scale-rotate, perspective, horizontal flip) improve cross-dataset generalization, while aggressive intensity augmentations degrade it. Pairwise combinations outperform individual augmentations.

Summary generated by Claude — human-verified