• DocumentCode
    3103909
  • Title

    Sharing and Reusing Cancer Image Segmentation Algorithms Using Scientific Workflows: Pros and Cons

  • Author

    Avila-Garcia, M.S. ; Trefethen, A.E. ; Joshi, N. ; Gleeson, F. ; Ba-alawi, E.

  • Author_Institution
    Oxford e-Res. Centre, Univ. of Oxford, Oxford, UK
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    94
  • Lastpage
    101
  • Abstract
    Image analysis researchers would benefit considerably by sharing and reusing image processing algorithms. We consider some of the issues that researchers face in trying to provide algorithms in a shareable and reusable form illustrating our approach in the context of medical imaging needs and workflow for colorectal cancer. We consider the use of workflow as a model for developing and reusing components of medical imaging and specifically we consider a solution built using .Net and Windows Workflow Foundation.
  • Keywords
    cancer; image segmentation; medical image processing; software reusability; .Net; Windows Workflow Foundation; cancer image segmentation algorithm sharing; cancer image segmentation algorithms reuse; colorectal cancer; image analysis researchers; medical imaging; scientific workflows; Biomedical imaging; Cancer; Computed tomography; Image analysis; Image processing; Image segmentation; Image texture analysis; Magnetic resonance imaging; Medical diagnostic imaging; Tumors; Cancer Imaging; Reusing algortihms; Scientific Workflows; Sharing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Science, 2009. e-Science '09. Fifth IEEE International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-0-7695-3877-8
  • Type

    conf

  • DOI
    10.1109/e-Science.2009.22
  • Filename
    5380879