Shape-aware objectives that inject global geometric and statistical structure into medical image segmentation training.
- Proposed several shape-based loss functions, including bounding-box-based objectives, to inject global geometric and statistical information into segmentation training.
- Studied how physically meaningful shape descriptions improve organ segmentation across different anatomies and imaging modalities.