A new approach to 3D form recognition within video capsule endoscopic

Author

Ayoub, Jad ; Granado, Bertrand ; Romain, Olivier ; Mohanna, Yasser

Author_Institution

ENSEA, ETIS, Univ. de Cergy Pontoise, Cergy, France

fYear

2011

fDate

2-4 Nov. 2011

Firstpage

1

Lastpage

7

Abstract

This paper describes a novel approach to capsular endoscopy that takes advantage of existing wireless capsule endoscopy (WCE) and overcomes some of its important limits. The basic and essential task concerning the integration of SVM classifier is listed and discussed in details, as well as the new features required to improve its diagnostic capability. In addition, a large scale demonstrator has been evaluated and tested. In vitro experimental results were encouraging and show correct classification rate of intestinal polyps of approximately 93.7%. The work contains detailed statistics about the detection rate and the computing complexity.

Keywords

computational complexity; endoscopes; feature extraction; image classification; image reconstruction; medical image processing; support vector machines; 3D form recognition; 3D reconstruction; SVM classifier; computing complexity; diagnostic capability; intestinal polyps; video capsule endoscopic; wireless capsule endoscopy; Cancer; Feature extraction; Kernel; Sensitivity; Support vector machines; Three dimensional displays; Vectors; 3D endoscopy; 3D reconstruction; Active stereovision; Support vector machines; feature selection; form recognition; polyps classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Design and Architectures for Signal and Image Processing (DASIP), 2011 Conference on

Conference_Location

Tampere

Print_ISBN

978-1-4577-0620-2

Electronic_ISBN

978-1-4577-0619-6

Type

conf

DOI

10.1109/DASIP.2011.6136872

Filename

6136872