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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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2017/8147632 |
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author | Hongda Chen Shaoze Wang Yong Ding Dahong Qian |
author_facet | Hongda Chen Shaoze Wang Yong Ding Dahong Qian |
author_sort | Hongda Chen |
collection | DOAJ |
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. |
format | Article |
id | doaj-art-69d822b4ba404bfda3f7bbf5eb85d74f |
institution | Kabale University |
issn | 1687-4188 1687-4196 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Biomedical Imaging |
spelling | doaj-art-69d822b4ba404bfda3f7bbf5eb85d74f2025-02-03T01:21:55ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962017-01-01201710.1155/2017/81476328147632Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy DiagnosisHongda Chen0Shaoze Wang1Yong Ding2Dahong Qian3The Institute of VLSI Design, Zhejiang University, Hangzhou, ChinaThe Institute of VLSI Design, Zhejiang University, Hangzhou, ChinaThe Institute of VLSI Design, Zhejiang University, Hangzhou, ChinaFaculty of School of Medicine, Zhejiang University, Hangzhou, ChinaStomach 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.http://dx.doi.org/10.1155/2017/8147632 |
spellingShingle | Hongda Chen Shaoze Wang Yong Ding Dahong Qian Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis International Journal of Biomedical Imaging |
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 |
url | http://dx.doi.org/10.1155/2017/8147632 |
work_keys_str_mv | AT hongdachen saliencybasedbleedinglocalizationforwirelesscapsuleendoscopydiagnosis AT shaozewang saliencybasedbleedinglocalizationforwirelesscapsuleendoscopydiagnosis AT yongding saliencybasedbleedinglocalizationforwirelesscapsuleendoscopydiagnosis AT dahongqian saliencybasedbleedinglocalizationforwirelesscapsuleendoscopydiagnosis |