Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. (arXiv:2208.03901v1 [cs.CV])

For medical image analysis, segmentation models trained on one or several
domains lack generalization ability to unseen domains due to discrepancies
between different data acquisition policies. We argue that the degeneration in
segmentation performance is mainly attributed to overfitting to source domains
and domain shift. To this end, we present a novel generalizable medical image
segmentation method. To be specific, we design our approach as a multi-task
paradigm by combining the segmentation model with a self-supervision
domain-specific image restoration (DSIR) …

amplitude arxiv cv image medical random segmentation