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ENDOSKOPiK GORUNTULERiN DEGERLENDiRiLMESiNDE GORUNTU i§LEME TEMELLi AKILLI BiR KARAR DESTEK SiSTEMi

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

Journal Name:

  • Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Publication Year:

  • 2009

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
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.
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Abstract (Original Language): 
Bu gali§mada, kolonoskopik video goruntulerindeki poliplerin yerlerini belirleyen, hekime yardimci akilli bir karar destek sistemi sunulmu§tur. Sistem, dalgacik d6nu§umu e§ olu§um matrislerinden gikanlan oznitelikler ile yapay sinir aglari siniflandincisindan olu§maktadir. Onerilen sistem polip ve normal dokularin bulundugu bir dizi kolonoskopik video goruntusune uygulanmi§tir. Elde edilen deneysel sonuglar ozgulluk ve duyarlilik analizi ile degerlendirilmiijtir. Kullanilan degerlendirme kriterince gergekle§tirilen butun uygulamalarin sonucunda ortalama % 90.2 duyarlilik ve % 88.7 ozgulluk degerleri elde edilmi§tir.
FULL TEXT (PDF): 
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  • Turkish

REFERENCES

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Muhendislik Bilimleri Dergisi 2009 15 (1) 33-42
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Journal of Engineering Sciences 2009 15 (1) 33-42
Endoskopik Goruntulerin Degerlendirilmesinde Goruntu i§leme Temelli Akilli Bir Karar Destek..., A. Sengur, i. Turkoglu ve M. C. ince
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