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  • 标题:Innovative Framework for Web Based MR Brain Image Segmentation Services for the Medical Image Analyzer
  • 本地全文:下载
  • 作者:T. Avudaiappan ; R. Balasubramanian ; N. Mathavaraj
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2014
  • 卷号:3
  • 期号:6
  • 页码:465-469
  • 出版社:IJCSN publisher
  • 摘要:This paper describes the construction of a web service for medical image analysis based on the Service Oriented Architecture (SOA). This proposal can help the medical image analyzer including clinicians and research institutes. The proposed web based framework includes an integrated environment to enable scientists and clinicians to access the previous and current medical image analysis algorithms using a user interface without any access to the algorithm codes and procedures. In this paper, for medical image analysis algorithm, the existing AFCM, BCFCM, GKFCM, SFKFCM, GFC and FLGMM are utilized. These algorithms can be hidden in an application server but allow the users to use the algorithms as a package without any access to see or alter their code. So this framework provides security and privacy to algorithms hidden in the application server. In other words, in the user part, users send their images to the server and choose one of the algorithms, most suitable to serve their purpose, via an interface; in the server part, the algorithm is applied to the uploaded image and results are returned to the user.
  • 关键词:Image Analyzer;Image Segmentation;MATLAB NE Builder;Magnetic Resonance Imaging (MRI)
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