SegTTA improves MedSAM2 zero-shot segmentation on uterus and liver datasets by test-time augmentations plus weighted voting, delivering +1.6 mIoU and -2.0 HD95 on multiclass hepatic vessels.
Noisymix: Boosting robustness by combining data augmentations, stability training, and noise injections.arXiv preprint arXiv:2202.01263, 1
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SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
SegTTA improves MedSAM2 zero-shot segmentation on uterus and liver datasets by test-time augmentations plus weighted voting, delivering +1.6 mIoU and -2.0 HD95 on multiclass hepatic vessels.