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
Link To Document :
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