Title :
Capillaroscopy Image Analysis as an Automatic Image Annotation Problem
Author :
Kwasnicka, H. ; Paradowski, Mariusz
Author_Institution :
Wroclaw Univ. of Technol., Wroclaw
Abstract :
Image auto-annotation methods perform the description previously unseen images with a set of words, based on previously shown examples. This is a relatively new paradigm in image processing research domain. Capillaroscopy is a branch of medicine focusing on analysis of vascular changes. Among others, it is a very helpful tool in diagnosis of many rheumatic diseases. The paper presents a preliminary research on usage of image auto-annotation methods for the computer-aided diagnosis from capillaroscopy images.
Keywords :
capillarity; cardiovascular system; diseases; medical image processing; automatic image annotation problem; capillaroscopy image analysis; computer-aided diagnosis; image processing; rheumatic disease diagnosis; vascular change analysis; Biomedical imaging; Connective tissue; Dictionaries; Diseases; Feature extraction; Image analysis; Medical diagnostic imaging; Microscopy; Morphology; Skin;
Conference_Titel :
Computer Information Systems and Industrial Management Applications, 2007. CISIM '07. 6th International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-7695-2894-5
DOI :
10.1109/CISIM.2007.21
