• Corpus ID: 27998567

A cloud solution for medical image processing

@article{Mirarab2014ACS,
  title={A cloud solution for medical image processing},
  author={Ali Mirarab and Najmeh Ghasemi Fard and Mahboubeh Shamsi},
  journal={International Journal of Engineering Research and Applications},
  year={2014},
  volume={4},
  pages={74-82}
}
The rapid growth in the use of Electronic Health Records across the globe along with the rich mix of multimedia held within an EHR combined with the increasing level of detail due to advances in diagnostic medical imaging means increasing amounts of data can be stored for each patient. Also lack of image processing and analysis tools for handling the large image datasets has compromised researchers and practitioner‟s outcome. Migrating medical imaging applications and data to the Cloud can… 

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References

SHOWING 1-10 OF 25 REFERENCES
Cloud-based Healthcare: Towards a SLA Compliant Network Aware Solution for Medical Image Processing
TLDR
The results of initial experiments show that a genetic algorithm-based placement approach can increase Cloud-based application performance and avoid service level agreement violations.
Bulding a cloud service for medical image processing based on service-orient archtecture
TLDR
The SOA architecture in remote communications, security and development program based on the multi-layer approach is analyzed and a specific cloud service is implemented to show that improvement on the programming techniques and steps for web service access.
Cloud resource broker in the optimization of medical image retrieval system: A proposed goal-based request in medical application
TLDR
This paper presents a solution to improve current medical image retrieval system by introducing goal-based cloud resource broker based on concept of goal which enables users to define required resources and to optimize the use of resources in the cloud.
A PACS Gateway to the Cloud
TLDR
A secure PACS Cloud Gateway to accessPACS Cloud archive, which provides a high security level and without cloud's provider dependence, is presented.
Medical Information Integration Based Cloud Computing
TLDR
The initial formulation of medical information integration model is shown, designed to help medical workers and medical departments to share data, integrate resources and analyses data, using the technology of cloud computing to provide huge storage resources and powerful computing capacity.
Hybrid Genetic Algorithm for Cloud Computing Applications
TLDR
This paper demonstrates the advantage of MAGA over traditional GA, and exploits multi-agent genetic algorithms to solve the load balancing problem in cloud computing, by designing a load balancing model on the basis of virtualization resource management.
A Comparative Study of the Current Cloud Computing Technologies and Offers
TLDR
This work conducts a survey on current Cloud providers and technologies in order to help users choosing the better cloud offer that compiles with their needs or building their own Cloud infrastructure with the most suitable open source technologies.
Building a Cloud Storage Service System
Evolutionary Optimal Virtual Machine Placement and Demand Forecaster for Cloud Computing
TLDR
The evaluation result shows that the EOVMP algorithm can provide the solution close to the optimal solution of stochastic integer programming (SIP) and the prediction of the demand forecaster is of reasonable accuracy.
...
...