DocumentCode
3218133
Title
Towards improving medical image diagnosis
Author
Ion, Anca Loredana
Author_Institution
Fac. of Autom., Comput. & Electron., Univ. of Craiova, Craiova, Romania
fYear
2011
fDate
22-24 Nov. 2011
Firstpage
1187
Lastpage
1190
Abstract
In this paper we exploit the unique challenges and at the same time new opportunities of the medical domain, by developing methods with automatic diagnosis capacity. Our methods use the capabilities of the statistical framework for mathematical processing of images and image mining techniques for producing diagnosis rules. The experiments were carried out on a medical database with digestive images.
Keywords
biological organs; image classification; image segmentation; medical image processing; statistical analysis; automatic diagnosis capacity; digestive images; image classification; image mining techniques; image segmentation; mathematical image processing; medical database; medical domain; medical image diagnosis; statistical framework; Image color analysis; Image segmentation; Itemsets; Medical diagnostic imaging; Semantics; Visualization; Apriori algorithm; Gaussian mixture model; image classification; image mining; multimedia retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Forum (TELFOR), 2011 19th
Conference_Location
Belgrade
Print_ISBN
978-1-4577-1499-3
Type
conf
DOI
10.1109/TELFOR.2011.6143762
Filename
6143762
Link To Document