Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Image analysis tools for brain magnetic resonance imaging (MRI) have become increasingly important for computer-aided diagnosis that involves large amounts of medical image data. The authors of this article have endeavored to develop software tools to serve the clinical research community, starting with a stand-alone executable, hybrid local computation model for today's modern architecture of cloud services, which they call MRICloud. MRICloud provides a high-throughput neuroinformatics platform for automated brain MRI segmentation and analytical tools for quantification via distributed remote computation and b-based user interfaces. There are several key, inherent advantages to a cloud-based software as a service--in particular, how it improves the efficiency of software implementation, upgrades, and maintenance. The client-server model is also ideal for high-performance computing, allowing for distribution of computational servers across the world. This article introduces the basic functions and utilities of MRICloud, its developmental history and future perspectives, its infrastructures, and the benefits of this cloud service framework.
['Susumu Mori', 'Dan Wu', 'Can Ceritoglu', 'Yue Li', 'Anthony Kolasny', 'Marc A. Vaillant', 'Andreia V. Faria', 'Kenichi Oishi', 'Michael I. Miller']
I am writing a research paper on a idea MRICloud: Delivering High-Throughput MRI Neuroinformatics as Cloud-Based Software as a Service
[{"from": "human", "value": "I am writing a research paper on a idea MRICloud: Delivering High-Throughput MRI Neuroinformatics as Cloud-Based Software as a Service"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Image analysis tools for brain magnetic resonance imaging (MRI) have become increasingly important for computer-aided diagnosis that involves large amounts of medical image data. The authors of this article have endeavored to develop software tools to serve the clinical research community, starting with a stand-alone executable, hybrid local computation model for today's modern architecture of cloud services, which they call MRICloud. MRICloud provides a high-throughput neuroinformatics platform for automated brain MRI segmentation and analytical tools for quantification via distributed remote computation and b-based user interfaces. There are several key, inherent advantages to a cloud-based software as a service--in particular, how it improves the efficiency of software implementation, upgrades, and maintenance. The client-server model is also ideal for high-performance computing, allowing for distribution of computational servers across the world. This article introduces the basic functions and utilities of MRICloud, its developmental history and future perspectives, its infrastructures, and the benefits of this cloud service framework."}]