S. Chavali

Test-Time Augmentation Consistently Improves U-Net-Family Brain Tumor Segmentation: A Controlled Study on BraTS 2020

Test-time augmentation (TTA) averages a model's predictions over label-preserving input transformations and is a common, training-free addition to segmentation pipelines. Its isolated effect, however, is rarely quantified under matched conditions across a family of models. In this work, TTA is evaluated as a standalone...