Prostate boundary detection in ultrasound images using biologically- inspired spiking neural network

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 2035-2041

  Ella Hassanien, Aboul ^a   Al Qaheri, Hameed ^b   El Dahshan, El Sayed A ^c  

^a CAIRO UNIVERSITY   (Egypt)

^b KUWAIT UNIVERSITY   (Kuwait)

^c Ain Shams University   (Egypt)

Author keywords

Bio inspiring; Prostate segmentation; Pulse coupled neural networks; Ultrasound images

Indexed keywords

BIO-INSPIRING; BIOLOGICALLY INSPIRED; BOUNDARY DETECTION; BOUNDARY DETECTION ALGORITHMS; FUZZY C MEAN; IMAGE PROCESSING ALGORITHM; INTENSITY VALUES; LOCAL CONNECTIONS; MACHINE LEARNING TECHNIQUES; MEDIAN FILTER; OPTIMAL SELECTION; ORIGINAL IMAGES; PROSTATE IMAGES; PROSTATE SEGMENTATION; PROSTATE ULTRASOUND; PULSE COUPLED NEURAL NETWORK; SEGMENTATION ALGORITHMS; SIMPLIFIED MODELS; SPIKING NEURAL NETWORKS; TEXTURE INFORMATION; ULTRASOUND IMAGES; VISUAL CORTEXES;

ALGORITHMS; IMAGE SEGMENTATION; ULTRASONIC APPLICATIONS; ULTRASONICS;

NEURAL NETWORKS;

EID: 78751612609     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.07.001     Document Type: Conference Paper

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