Problem solving environment for medical image analysis

Ketan C. Maheshwari, Silvia D. Olabarriaga, Charl P. Botha, Jeroen G. Snel, Johan Alkemade, Adam Belloum
Proceedings of the IEEE International Symposium on Computer Based Medical Systems (CBMS) - 2007
Download the publication : MOBSAB07a.pdf [250Ko]  
The development of Medical Image Analysis (MIA) applications that can successfully be applied in clinical practice is difficult for several reasons, one of them being the large amount and variety of resources involved (people, data, methods, computing). The application goes through several phases (development, parameter optimization, evaluation and clinical deployment) usually supported by different systems. The lack of support for information flow from phase to phase puts extra logistics burden on the lifecycle of MIA applications. In this paper we describe our first efforts to develop a Problem Solving Environment (PSE) for MIA applications using the three systems available at the proof-of-concept environment of the Virtual Laboratory for e-Sciences Project. The proposed PSE implements data provenance mechanisms that support information flow across systems, facilitating navigation along phases of the application lifecycle.

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BibTex references

@InProceedings { MOBSAB07a,
  author       = "Maheshwari, Ketan C. and Olabarriaga, Silvia D. and Botha, Charl P. and Snel, Jeroen G. and Alkemade, Johan
                  and Belloum, Adam",
  title        = "Problem solving environment for medical image analysis",
  booktitle    = "Proceedings of the IEEE International Symposium on Computer Based Medical Systems (CBMS)",
  year         = "2007",
  note         = "2007.03.21",
  url          = "http://graphics.tudelft.nl/Publications-new/2007/MOBSAB07a"
}

Other publications in the database

» Silvia D. Olabarriaga
» Charl P. Botha
» Jeroen G. Snel






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