Data centers are facing an image problem. The tech industry is spending millions to rebrand them. With community opposition growing, data center backers are going on a full-scale public relations ...

Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...

ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...

This repository contains the source code and datasets for our proposed framework on temporal action segmentation, as described in the paper titled Semantic Smoothness Optimization via Graph-Cut Energy ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

For decades America’s soft power put the wind in the sails of its companies as they ventured abroad. When the Berlin Wall fell, Coca-Cola sent lorries emblazoned with its logo into East Berlin to hand ...

Abstract: Image segmentation, a fundamental problem in image processing, involves distinguishing the foreground from the background. Traditional image segmentation methods are typically divided into ...