DocumentCode
2307943
Title
Simulation of medical image interpretation
Author
Gal, Norbert ; Stoicu-Tivadar, Vasile
Author_Institution
Dept. of Autom. & Appl. Inf., Politeh. Univ. of Timisoara, Timisoara, Romania
fYear
2011
fDate
23-25 June 2011
Firstpage
33
Lastpage
37
Abstract
Medical images carry information in a complex data format about the organ and the related pathologies. Physicians must decipher this information from the image. In this paper a workflow of the image interpretation simulation and a set of numerical image processing algorithms are presented. The paper is focused on the available segmentation and feature extraction methods. The main goal is to create a framework to identify the most suitable segmentation and feature extraction method for a medical image interpretation system.
Keywords
feature extraction; image segmentation; medical image processing; numerical analysis; workflow management software; complex data format; feature extraction; image segmentation; information decipher; medical image interpretation simulation; numerical image processing algorithms; Feature extraction; Image color analysis; Image segmentation; Medical diagnostic imaging; Numerical models; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
Conference_Location
Poprad
Print_ISBN
978-1-4244-8954-1
Type
conf
DOI
10.1109/INES.2011.5954715
Filename
5954715
Link To Document