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
Link To Document