DocumentCode :
2932934
Title :
Accurate detection of prostate boundary in ultrasound images using biologically-inspired spiking neural network
Author :
El-dahshan, E. ; Redi, A. ; Hassanien, Aboul Ella ; Xiao, Kai
Author_Institution :
Ain Shams Univ. Cairo, Cairo
fYear :
2007
fDate :
Nov. 28 2007-Dec. 1 2007
Firstpage :
308
Lastpage :
311
Abstract :
The main aim of this paper is to provide an accurate boundary detection algorithm of the prostate ultrasound images to assist radiologists in making their decisions. To increase the contrast of the ultrasound prostate image, the intensity values of the original images were adjusted firstly using the PCNN with median filter. It is followed by the PCNN segmentation algorithm to detect the boundary of the image. Combining adjusting and segmentation enable us to eliminate PCNN sensitivity to the setting of the various PCNN parameters whose optimal selection can be difficult and can vary even for the same problem. Analysis and experimental results show that the best segmentation output can be drawn from the simple and sophisticated ultrasound images using the spiking neural networks.
Keywords :
biomedical ultrasonics; diseases; image segmentation; median filters; medical image processing; neural nets; object detection; PCNN segmentation algorithm; accurate boundary detection algorithm; biologically-inspired spiking neural network; median filter; prostate boundary detection; radiologists; ultrasound images; Biomedical signal processing; Detection algorithms; Image analysis; Image segmentation; Intelligent networks; Magnetic resonance imaging; Neural networks; Prostate cancer; Signal processing algorithms; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
Type :
conf
DOI :
10.1109/ISPACS.2007.4445885
Filename :
4445885
Link To Document :
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