Title :
Towards improving medical image diagnosis
Author :
Ion, Anca Loredana
Author_Institution :
Fac. of Autom., Comput. & Electron., Univ. of Craiova, Craiova, Romania
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;
Conference_Titel :
Telecommunications Forum (TELFOR), 2011 19th
Conference_Location :
Belgrade
Print_ISBN :
978-1-4577-1499-3
DOI :
10.1109/TELFOR.2011.6143762
