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乳糜泻的定量图像分析

Quantitative image analysis of celiac disease.

作者信息

Ciaccio Edward J, Bhagat Govind, Lewis Suzanne K, Green Peter H

机构信息

Edward J Ciaccio, Govind Bhagat, Suzanne K Lewis, Peter H Green, Department of Medicine, Celiac Disease Center, Columbia University, New York, NY 10032, United States.

出版信息

World J Gastroenterol. 2015 Mar 7;21(9):2577-81. doi: 10.3748/wjg.v21.i9.2577.

Abstract

We outline the use of quantitative techniques that are currently used for analysis of celiac disease. Image processing techniques can be useful to statistically analyze the pixular data of endoscopic images that is acquired with standard or videocapsule endoscopy. It is shown how current techniques have evolved to become more useful for gastroenterologists who seek to understand celiac disease and to screen for it in suspected patients. New directions for focus in the development of methodology for diagnosis and treatment of this disease are suggested. It is evident that there are yet broad areas where there is potential to expand the use of quantitative techniques for improved analysis in suspected or known celiac disease patients.

摘要

我们概述了目前用于乳糜泻分析的定量技术的应用。图像处理技术有助于对通过标准或视频胶囊内镜获取的内镜图像像素数据进行统计分析。文中展示了当前技术是如何演变的,以便对那些试图了解乳糜泻并对疑似患者进行筛查的胃肠病学家更有用。文中还提出了该疾病诊断和治疗方法开发的新重点方向。显然,在疑似或已知乳糜泻患者中,仍有广泛领域有潜力扩大定量技术的应用以进行改进分析。

相似文献

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Quantitative image analysis of celiac disease.乳糜泻的定量图像分析
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Video capsule endoscopy in celiac disease.乳糜泻的视频胶囊内镜检查
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Scale invariant texture descriptors for classifying celiac disease.用于分类乳糜泻的尺度不变纹理描述符。
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