Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation

Understand

Dice loss is widely used for medical image segmentation, and many improvement loss functions based on such loss have been proposed.

• However, further Dice loss improvements are still possible.
• In this study, we reconsidered the use of Dice loss and discovered that Dice loss can be rewritten in the loss function using the cosine similarity through a simple equation transformation.
• Using this knowledge, we present a novel t-vMF Dice loss based on the t-vMF similarity instead of the cosine similarity.