AN INTELLIGENT DECISION SUPPORT SYSTEM BASED ON IMAGE PROCESSING FOR EVALUATING OF THE ENDOSCOPIC IMAGES

被引：0

作者：

Sengur, Abdulkadir ^{[1
]}

Turkoglu, Ibrahim ^{[1
]}

Ince, M. Cevdet ^{[2
]}

机构：

[1] Firat Univ, Tekn Egitim Fak, Elekt Egitimi Bolumu, TR-23119 Elazig, Turkey

[2] Firat Univ, Muhendisl Fak, Elekt Elekt Muh, TR-23119 Elazig, Turkey

来源：

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI | 2009年 / 15卷 / 01期

关键词：

Colonoscopic images; Polyp; Wavelet transform; Co-occurrence matrix; Artificial neural networks;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this study, a decision support system which helps the physician to determine the location of a polyp on the colonoscopic video images is presented. The system is composed of neural network classifier and features extracted from wavelet transform co-occurrence matrices. The proposed methodology is applied to a sequence of colonoscopic video frames which have normal and abnormal formations. The application results are evaluated with respect to the sensitivity and specificity analysis. As a result of the evaluation criterion, 90.2 % sensitivity and 88.7 % specificity values are obtained by using statistical features of the wavelet transform co-occurrence matrices and neural networks.

引用

页码：33 / 42

页数：10

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