AI RESEARCH
ROBUST-WT: Robust Uncertainty-aware Segmentation Transform via Whitening and Training Enhancements
arXiv CS.LG
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ArXi:2606.03069v1 Announce Type: cross Generalized segmentation of medical images prevents performance degradation when different imaging devices and clinical protocols are used across multiple domains. The Whitening Transform-based Probabilistic Shape Regularization Extractor (WT-PSE), published in IEEE Transactions on Medical Imaging in 2024, addresses this challenge by employing feature decorrelation and Wasserstein distance-based knowledge distillation to achieve robust cross-domain segmentation. This study systematically examines improvements to the WT-PSE learning framework.