Boundary Difference Over Union Loss For Medical Image Segmentation

Understand

Medical image segmentation is crucial for clinical diagnosis.

• However, current losses for medical image segmentation mainly focus on overall segmentation results, with fewer losses proposed to guide boundary segmentation.
• Those that do exist often need to be used in combination with other losses and produce ineffective results.
• To address this issue, we have developed a simple and effective loss called the Boundary Difference over Union Loss (Boundary DoU Loss) to guide boundary region segmentation.