Analysis System of Endoscopic Image of Early Gastric Cancer(Image Processing,<Special Section>Information Theory and Its Applications)

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概要

• 論文の詳細を見る

• Gastric cancer is a great part of the cancer occurrence and the mortality from cancer in Korea, and the early detection of gastric cancer is very important in the treatment and convalescence. This paper, for the early detection of gastric cancer, proposes the analysis system of an endoscopic image of the stomach, which detects abnormal regions by using the change of color in the image and by providing the surface tissue information to the detector. While advanced inflammation or cancer may be easily detected, early inflammation or cancer is difficult to detect and requires more attention to be detected. This paper, at first, converts an endoscopic image to an image of the IHb (Index of Hemoglobin) model and removes noises incurred by illumination and, automatically detects the regions suspected as cancer and provides the related information to the detector, or provides the surface tissue information for the regions appointed by the detector. This paper does not intend to provide the final diagnosis of abnormal regions detected as gastric cancer, but it intends to provide a supplementary mean to reduce the load and mistaken diagnosis of the detector, by automatically detecting the abnormal regions not easily detected by the human eye and this provides additional information for diagnosis. The experiments using practical endoscopic images for performance evaluation showed that the proposed system is effective in the analysis of endoscopic images of the stomach.

• 社団法人電子情報通信学会の論文
• 2006-10-01

著者

• Kim Gwang-ha

  Department Of Internal Medicine Pusan National University College Of Medicine

• Kim Kwang-baek

  Department Of Computer Engineering Silla University

• KIM Sungshin

  School of Electrical Engineering, Pusan National University

• Kim Sungshin

  School Of Electrical Engineering Pusan National University

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• Recognition of English Calling Cards by Using Enhanced Fuzzy Radial Basis Function Neural Networks(Papers Selected from 2003 International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC 2003))
• Enhanced RBF Network by Using ART2 Algorithm and Fuzzy Control Method(Papers Selected from ITC-CSCC 2004)
• Analysis System of Endoscopic Image of Early Gastric Cancer(Image Processing,Information Theory and Its Applications)

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