The soft Dice loss (SDL) has taken a pivotal role in many automated
segm...
We know that both the CNN mapping function and the sampling scheme are o...
In this article, we look into some essential aspects of convolutional ne...
This article focuses on the control center of each human body: the brain...
The clinical interest is often to measure the volume of a structure, whi...
Performance metrics for medical image segmentation models are used to me...
Albeit the Dice loss is one of the dominant loss functions in medical im...
Machine learning driven medical image segmentation has become standard i...
Our motivating application is a real-world problem: COVID-19 classificat...
In many medical imaging and classical computer vision tasks, the Dice sc...
Recent research on COVID-19 suggests that CT imaging provides useful
inf...
Segmentation is a fundamental task in medical image analysis. The clinic...
The Dice score and Jaccard index are commonly used metrics for the evalu...