Offset Curves Loss for Imbalanced Problem in Medical Segmentation

Understand

Medical image segmentation has played an important role in medical analysis and widely developed for many clinical applications.

• Deep learning-based approaches have achieved high performance in semantic segmentation but they are limited to pixel-wise setting and imbalanced classes data problem.
• In this paper, we tackle those limitations by developing a new deep learning-based model which takes into account both higher feature level i.e.
• region inside contour, intermediate feature level i.e.