Yu Xie

Annotation-efficient Semi-supervised and Active Learning for Breast Cancer Segmentation in DCE-MRI.

Accurate breast tumor segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is vital for diagnosis and treatment planning. Despite advances in deep learning, its performance remains constrained by the need for extensive voxel-wise annotations. To mitigate this burden, we propose an annotation-e...