Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/18790
Title: Exploiting gastrointestinal anatomy for organ classification in capsule endoscopy using locality preserving projections
Authors: Azzopardi, Carl
Hicks, Yulia A.
Camilleri, Kenneth P.
Keywords: Capsule endoscopy
Engineering drawings -- Dimensioning
Gastrointestinal system
Image segmentation
Endoscopy
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Azzopardi, C., Hicks, Y. A., & Camilleri, K. P. (2013, July). Exploiting gastrointestinal anatomy for organ classification in capsule endoscopy using locality preserving projections. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka. 3654-3657.
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.
URI: https://www.um.edu.mt/library/oar//handle/123456789/18790
Appears in Collections:Scholarly Works - FacEngSCE



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