Paper Info
Title
Problem Solving Environment for Medical Image Analysis
Abstract
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 among systems, facilitating navigation across phases of the application lifecycle.
Year
DOI
Venue
2007
10.1109/CBMS.2007.87
CBMS
Keywords
Field
DocType
support information flow,clinical deployment,proposed pse,virtual laboratory,information flow,application lifecycle,mia application,data provenance mechanism,medical image analysis,clinical practice,biomedical informatics,image analysis,proof of concept,biomedical imaging,data visualization,navigation,logistics,application software
Data science,Virtual Laboratory,Data mining,Application lifecycle management,Software deployment,Computer science,Artificial intelligence,Application software,Problem solving environment,Information flow (information theory),Computer vision,Data visualization,Health informatics
Conference
ISSN
ISBN
Citations 
2372-9198
0-7695-2905-4
2
PageRank 
References 
Authors
0.52
19
6
Name
Order
Citations
PageRank
Ketan Maheshwari116313.70
Silvia D. Olabarriaga2657.36
Charl P. Botha318219.15
jeroen g snel4383.51
Johan Alkemade520.52
Adam Belloum633444.13