• DocumentCode
    249215
  • Title

    Analysis of ultrasound images for identification of Chronic Kidney Disease stages

  • Author

    Pujari, Renuka Marutirao ; Hajare, Vikas D.

  • Author_Institution
    Instrum. & Control, Cummins Coll. of Eng. for Women, Pune, India
  • fYear
    2014
  • fDate
    19-20 Aug. 2014
  • Firstpage
    380
  • Lastpage
    383
  • Abstract
    The growth of kidney disease has gradually increased over the coming years. Ultrasound imaging is an incontestable vital tool for diagnosis, it provides the internal structure of the body to detect eventually diseases or abnormal tissues non-invasively. This paper presents analysis of Ultrasonography (USG) images for detection of Chronic Kidney Disease(CKD) stages. The methodology of image processing techniques focus on detecting the proportion of fibrosis conditions within kidney tissues and develop a system which detect and identify different stages of CKD.
  • Keywords
    biological tissues; diseases; kidney; medical image processing; ultrasonic imaging; abnormal tissues; chronic kidney disease stage identification; fibrosis conditions; image processing techniques; kidney tissues; ultrasonography images; ultrasound image analysis; Diseases; Image segmentation; Kidney; Noise; Speckle; Ultrasonic imaging; Chronic Kidney Disease (CKD); Fibrosis conditions; Ultrasonography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks & Soft Computing (ICNSC), 2014 First International Conference on
  • Conference_Location
    Guntur
  • Print_ISBN
    978-1-4799-3485-0
  • Type

    conf

  • DOI
    10.1109/CNSC.2014.6906704
  • Filename
    6906704