Title :
A comparative study of texture features for the discrimination of gastric polyps in endoscopic video
Author :
Iakovidis, D.K. ; Maroulis, D.E. ; Karkanis, S.A. ; Brokos, A.
Author_Institution :
Dept. of Informatics & Telecommun., Athens Univ., Greece
Abstract :
In this paper, we extend the application of four texture feature extraction methods proposed for the detection of colorectal lesions, into the discrimination of gastric polyps in endoscopic video. Support Vector Machines have been utilized for the texture classification task. The polyp discrimination performance of the surveyed schemes is compared by means of Receiver Operating Characteristics (ROC). The results advocate the feasibility of a computer-based system for polyp detection in video gastroscopy that exploits the textural characteristics of the gastric mucosa in conjunction with its color appearance.
Keywords :
biological organs; biomedical optical imaging; cancer; endoscopes; feature extraction; image classification; image texture; medical image processing; support vector machines; tumours; ROC; colorectal lesion; computer-based system; endoscopic video; feature extraction method; gastric mucosa; gastric polyps; receiver operating characteristics; support vector machines; texture classification task; texture feature; video gastroscopy; Cancer; Educational technology; Feature extraction; Histograms; Image edge detection; Informatics; Lesions; Pixel; Support vector machine classification; Support vector machines;
Conference_Titel :
Computer-Based Medical Systems, 2005. Proceedings. 18th IEEE Symposium on
Print_ISBN :
0-7695-2355-2
DOI :
10.1109/CBMS.2005.6
