Roughness Index and Roughness Distance for Benchmarking Medical Segmentation

Understand

Medical image segmentation is one of the most challenging tasks in medical image analysis and has been widely developed for many clinical applications.

• Most of the existing metrics have been first designed for natural images and then extended to medical images.
• While object surface plays an important role in medical segmentation and quantitative analysis i.e.
• analyze brain tumor surface, measure gray matter volume, most of the existing metrics are limited when it comes to analyzing the object surface, especially to tell about surface smoothness or roughness of a given volumetric object or to analyze the topological errors.