DocumentCode :
2842522
Title :
Translating Cancer Research into Clinical Practice: A Framework for Analyzing and Modeling Cancer from Imaging Data
Author :
Sakkalis, Vangelis ; Marias, Konstantinos ; Roniotis, Alexandros ; Skounakis, Emmanouil
Author_Institution :
Inst. of Comput. Sci., Found. for Res. & Technol., Heraklion, Greece
fYear :
2009
fDate :
Nov. 30 2009-Dec. 2 2009
Firstpage :
347
Lastpage :
350
Abstract :
This paper presents the work of our group concerning cancer image analysis and modeling. The adopted strategy aims to build a complete system for analysis and visualization of DICOM tomographic data, offering a variety of annotation or automatic segmentation tools as well as tools for tumor growth simulation and visualization.
Keywords :
cancer; computerised tomography; data visualisation; digital simulation; image segmentation; medical image processing; tumours; DICOM tomographic data visualization; annotation tool; automatic segmentation tool; cancer image analysis; cancer image modeling; cancer research; clinical practice; tumor growth simulation; tumor growth visualization; Analytical models; Biomedical imaging; Cancer; Data visualization; Humans; Image analysis; Image segmentation; Medical simulation; Medical treatment; Neoplasms; cancer simulation; image processing; tumor delineation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
Electronic_ISBN :
978-0-7695-3872-3
Type :
conf
DOI :
10.1109/ISDA.2009.235
Filename :
5364862
Link To Document :
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