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

fYear

2005

fDate

23-24 June 2005

Firstpage

575

Lastpage

580

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2005. Proceedings. 18th IEEE Symposium on

ISSN

1063-7125

Print_ISBN

0-7695-2355-2

Type

conf

DOI

10.1109/CBMS.2005.6

Filename

1467755