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