The concept of network topology aims to describe the interconnectedness of different brain areas more precisely. This is of great relevance in physiology as ...

Abstract: Medical image segmentation plays a crucial role in computer-aided diagnosis and treatment planning. Unsupervised segmentation methods that can effectively leverage unlabeled data bring ...

As the United States marks its 250th anniversary, WTOP presents “ 250 Years of America,” a multipart series examining the innovations, breakthroughs and pivotal moments that have shaped the nation ...

Neuroscientists are converging on a detailed picture of how the human brain carves continuous speech into words, drawing on ...

Secure Digital Markets and Kraken completed a $1 million Bitcoin pilot settlement over the Lightning Network—claimed as the largest publicly reported Lightning payment—demonstrating near-instant, ...

This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...

For years, microsegmentation has carried a reputation for being too complex, too manual, or too advanced for most organizations. In fairness, legacy microsegmentation solutions earned that estimation ...

Abstract: Active contour models (ACMs) have shown effectiveness on remote sensing (RS) image segmentation tasks. However, this type of method still faces two important problems when segmenting RS ...