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
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;
Conference_Titel :
e-Science, 2009. e-Science '09. Fifth IEEE International Conference on
Conference_Location :
Oxford
Print_ISBN :
978-0-7695-3877-8
DOI :
10.1109/e-Science.2009.22