Titlebook: Interpretable and Annotation-Efficient Learning for Medical Image Computing; Third International Jaime Cardoso,Hien Van Nguyen,Samaneh Abb

工作

Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentationer, the well-trained models often fail in the target domain due to the domain shift. Unsupervised domain adaptation aims to improve network performance when applying robust models trained on medical images from source domains to a new target domain. In this work, we present an approach based on the