Bilgisayarli tomografi göröntölerinde hasarli böbrek tespiti

Translated title of the contribution: Detection of injured kidney in computed tomography

Gokalp Tulum, Ozgur Dandin, Tuncer Ergin, Uygar Teomete, Ferhat Cuce, Onur Osman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Timely and accurate diagnosis of intraabdominal organ injuries due to trauma is critical. Computer Assisted Detection (CAD) systems are rapidly developing techniques to segment the organs or to detect the pathologies in medical applications; either automatically or semi-Automatically. In this work, our aim is to propose and validate a CAD system which classifies injured kidney in Computed Tomography (CT) images. Sixteen cases containing nineteen injured and thirteen intact kidneys were considered for the validation of the method. The classification of the injured kidney was satisfactorily performed with 100% sensitivity ratio.

Translated title of the contributionDetection of injured kidney in computed tomography
Original languageTurkish
Title of host publication2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538604403
DOIs
StatePublished - Jun 23 2017
Externally publishedYes
Event2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2017 - Istanbul, Turkey
Duration: Apr 20 2017Apr 21 2017

Other

Other
CountryTurkey
CityIstanbul
Period4/20/174/21/17

Keywords

  • classification
  • feature extraction
  • Intact kidney
  • multilayer perceptron

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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  • Cite this

    Tulum, G., Dandin, O., Ergin, T., Teomete, U., Cuce, F., & Osman, O. (2017). Bilgisayarli tomografi göröntölerinde hasarli böbrek tespiti. In 2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2017 [7956783] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EBBT.2017.7956783