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Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis

Stomach bleeding is a kind of gastrointestinal disease which can be diagnosed noninvasively by wireless capsule endoscopy (WCE). However, it requires much time for physicians to scan large amount of WCE images. Alternatively, computer-assisted bleeding localization systems are developed where color,...

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Detalles Bibliográficos
Autores principales: Chen, Hongda, Wang, Shaoze, Ding, Yong, Qian, Dahong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727837/
https://www.ncbi.nlm.nih.gov/pubmed/29317858
http://dx.doi.org/10.1155/2017/8147632
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author Chen, Hongda
Wang, Shaoze
Ding, Yong
Qian, Dahong
author_facet Chen, Hongda
Wang, Shaoze
Ding, Yong
Qian, Dahong
author_sort Chen, Hongda
collection PubMed
description Stomach bleeding is a kind of gastrointestinal disease which can be diagnosed noninvasively by wireless capsule endoscopy (WCE). However, it requires much time for physicians to scan large amount of WCE images. Alternatively, computer-assisted bleeding localization systems are developed where color, edge, and intensity features are defined to distinguish lesions from normal tissues. This paper proposes a saliency-based localization system where three saliency maps are computed: phase congruency-based edge saliency map derived from Log-Gabor filter bands, intensity histogram-guided intensity saliency map, and red proportion-based saliency map. Fusing the three maps together, the proposed system can detect bleeding regions by thresholding the fused saliency map. Results demonstrate the accuracy of 98.97% for our system to mark bleeding regions.
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spelling pubmed-57278372018-01-09 Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis Chen, Hongda Wang, Shaoze Ding, Yong Qian, Dahong Int J Biomed Imaging Research Article Stomach bleeding is a kind of gastrointestinal disease which can be diagnosed noninvasively by wireless capsule endoscopy (WCE). However, it requires much time for physicians to scan large amount of WCE images. Alternatively, computer-assisted bleeding localization systems are developed where color, edge, and intensity features are defined to distinguish lesions from normal tissues. This paper proposes a saliency-based localization system where three saliency maps are computed: phase congruency-based edge saliency map derived from Log-Gabor filter bands, intensity histogram-guided intensity saliency map, and red proportion-based saliency map. Fusing the three maps together, the proposed system can detect bleeding regions by thresholding the fused saliency map. Results demonstrate the accuracy of 98.97% for our system to mark bleeding regions. Hindawi 2017 2017-11-28 /pmc/articles/PMC5727837/ /pubmed/29317858 http://dx.doi.org/10.1155/2017/8147632 Text en Copyright © 2017 Hongda Chen et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Hongda
Wang, Shaoze
Ding, Yong
Qian, Dahong
Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis
title Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis
title_full Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis
title_fullStr Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis
title_full_unstemmed Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis
title_short Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis
title_sort saliency-based bleeding localization for wireless capsule endoscopy diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727837/
https://www.ncbi.nlm.nih.gov/pubmed/29317858
http://dx.doi.org/10.1155/2017/8147632
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