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Exploiting gastrointestinal anatomy for organ classification in capsule endoscopy using locality preserving projections

Azzopardi, Carl, Hicks, Yulia Alexandrovna and Camilleri, Kenneth P. 2013. Exploiting gastrointestinal anatomy for organ classification in capsule endoscopy using locality preserving projections. Presented at: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 3-7 July 2013. Published in: Sunagawa, K. and Roux, C. eds. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Los Alamitos, CA: IEEE, pp. 3654-3657. 10.1109/EMBC.2013.6610335

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Abstract

Capsule Endoscopy is a technique designed to wirelessly image the small intestine within the gastrointestinal (GI) tract. Its main drawback is the vast amount of images it generates per patient, necessitating long screening sessions by the clinician. Previous studies have proposed to partially facilitate this process by automatically segmenting the GI tract into its constituent organs, thus identifying the region of interest. In this work, we propose to exploit the anatomical structure of the GI tract when carrying out dimensionality reduction on visual feature vectors that describe the capsule images. To this end, we suggest a novel adaptation of a technique called Locality Preserving Projections, and results show that this achieves an improved performance in organ classification and segmentation, at no additional computational or memory cost.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: R Medicine > R Medicine (General)
T Technology > TA Engineering (General). Civil engineering (General)
Publisher: IEEE
ISSN: 1557-170X
Related URLs:
Last Modified: 04 Jun 2017 06:24
URI: http://orca.cf.ac.uk/id/eprint/59569

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