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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Main Authors: Hongda Chen, Shaoze Wang, Yong Ding, Dahong Qian
Format: Article
Language:English
Published: Wiley 2017-01-01
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.
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id doaj-art-69d822b4ba404bfda3f7bbf5eb85d74f
institution Kabale University
issn 1687-4188
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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