Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis.

IF 3.3 Q2 ENGINEERING, BIOMEDICAL
International Journal of Biomedical Imaging Pub Date : 2017-01-01 Epub Date: 2017-11-28 DOI:10.1155/2017/8147632
Hongda Chen, Shaoze Wang, Yong Ding, Dahong Qian
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引用次数: 4

Abstract

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.

Abstract Image

Abstract Image

Abstract Image

基于显著性的无线胶囊内窥镜出血定位诊断。
胃出血是一种可以通过无线胶囊内镜(WCE)进行无创诊断的胃肠道疾病。然而,对于医生来说,扫描大量的WCE图像需要花费大量的时间。另外,计算机辅助的出血定位系统被开发出来,其中定义了颜色、边缘和强度特征,以区分病变和正常组织。本文提出了一种基于显著性的定位系统,该系统计算了三个显著性图:基于相位一致性的Log-Gabor滤波带边缘显著性图、基于强度直方图的强度显著性图和基于红色比例的显著性图。该系统将三幅图像融合在一起,通过对融合后的显著性图像进行阈值处理,检测出出血区域。结果表明,该系统标记出血区域的准确率为98.97%。
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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