There are various issues that limit the development and deployment of new software solutions in cancer image analysis research. In this paper we discuss some of these and propose a framework design based on cloud computing concepts, Microsoft technologies, existing middleware and imaging toolkits. Furthermore, we address some of these issues by introducing collaborative visual tools for visual input data and multi-user interactions. © 2008 IEEE
The remarkable advances of artificial intelligence (AI) technology are revolutionizing established a...
Objectives: In this paper, we discuss leveraging cloud-based platforms to collect, visualize, analyz...
The field of automated lung cancer diagnosis using Computed Tomography (CT) scans has been significa...
There are various issues that limit the development and deployment of new software solutions in canc...
With Cloud computing gaining momentum and universal acceptance of it being the future of computing a...
There has been a tremendous increase in medical image computing research and development over the la...
Cloud computing is a concept wherein a computer grid is created using the Internet with the sole pur...
Breast cancer is the most common cancer in women and has a worldwide annual incidence of over 1 mill...
Abstract: In this paper we present a cloud computing environment for medical imaging which deals wi...
Medical imaging research depends basically on the availability of large image collections, image pro...
The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national...
Medical imaging research depends basically on the availability of large image collections, image pro...
The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national...
Image analysis researchers would benefit considerably by sharing and reusing image processing algori...
Clinical imaging data are essential for developing research software for computer-aided diagnosis, t...
The remarkable advances of artificial intelligence (AI) technology are revolutionizing established a...
Objectives: In this paper, we discuss leveraging cloud-based platforms to collect, visualize, analyz...
The field of automated lung cancer diagnosis using Computed Tomography (CT) scans has been significa...
There are various issues that limit the development and deployment of new software solutions in canc...
With Cloud computing gaining momentum and universal acceptance of it being the future of computing a...
There has been a tremendous increase in medical image computing research and development over the la...
Cloud computing is a concept wherein a computer grid is created using the Internet with the sole pur...
Breast cancer is the most common cancer in women and has a worldwide annual incidence of over 1 mill...
Abstract: In this paper we present a cloud computing environment for medical imaging which deals wi...
Medical imaging research depends basically on the availability of large image collections, image pro...
The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national...
Medical imaging research depends basically on the availability of large image collections, image pro...
The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national...
Image analysis researchers would benefit considerably by sharing and reusing image processing algori...
Clinical imaging data are essential for developing research software for computer-aided diagnosis, t...
The remarkable advances of artificial intelligence (AI) technology are revolutionizing established a...
Objectives: In this paper, we discuss leveraging cloud-based platforms to collect, visualize, analyz...
The field of automated lung cancer diagnosis using Computed Tomography (CT) scans has been significa...