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

• Main Authors: Abdülkadir ŞENGÜR, İbrahim TÜRKOĞLU, M. Cevdet İNCE
• Format: Article
• Language: English
• Published: Pamukkale University 2009-01-01
• Series: Pamukkale University Journal of Engineering Sciences
• Subjects: Kolonoskopik görüntüler, Polipli doku, Dalgacık dönüşümü, Eş-oluşum matrisleri, Yapay sinir ağları.
• Online Access: http://dergipark.ulakbim.gov.tr/pajes/article/view/5000088775

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.