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Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection
Joint Authors
Granado, Bertrand
Meziou, L.
Precioso, F.
Romain, O.
Dray, X.
Histace, Aymeric
Matuszewski, Bogdan
Source
International Journal of Biomedical Imaging
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Visualization of the entire length of the gastrointestinal tract through natural orifices is a challenge for endoscopists.
Videoendoscopy is currently the “gold standard” technique for diagnosis of different pathologies of the intestinal tract.
Wireless capsule endoscopy (WCE) has been developed in the 1990s as an alternative to videoendoscopy to allow direct examination of the gastrointestinal tract without any need for sedation.
Nevertheless, the systematic postexamination by the specialist of the 50,000 (for the small bowel) to 150,000 images (for the colon) of a complete acquisition using WCE remains time-consuming and challenging due to the poor quality of WCE images.
In this paper, a semiautomatic segmentation for analysis of WCE images is proposed.
Based on active contour segmentation, the proposed method introduces alpha-divergences, a flexible statistical similarity measure that gives a real flexibility to different types of gastrointestinal pathologies.
Results of segmentation using the proposed approach are shown on different types of real-case examinations, from (multi)polyp(s) segmentation, to radiation enteritis delineation.
American Psychological Association (APA)
Meziou, L.& Histace, Aymeric& Precioso, F.& Romain, O.& Dray, X.& Granado, Bertrand…[et al.]. 2014. Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection. International Journal of Biomedical Imaging،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1036317
Modern Language Association (MLA)
Meziou, L.…[et al.]. Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection. International Journal of Biomedical Imaging No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1036317
American Medical Association (AMA)
Meziou, L.& Histace, Aymeric& Precioso, F.& Romain, O.& Dray, X.& Granado, Bertrand…[et al.]. Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection. International Journal of Biomedical Imaging. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1036317
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036317