Speckle reduction in medical ultrasound: A novel scatterer density weighted nonlinear diffusion algorithm implemented as a neural-network filter

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 2776-2782

  Badawi, Ahmed M ^a,b,c   Rushdi, Muhammad A ^d  

^a IEEE   (United States)

^b University of Tennessee Knoxville   (United States)

^c CAIRO UNIVERSITY   (Egypt)

^d University of Miami College of Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION NEURAL NETWORK; NONLINEAR IMAGE DIFFUSION ALGORITHM;

ALGORITHMS; IMAGE QUALITY; NEURAL NETWORKS; NOISE ABATEMENT; SIGNAL TO NOISE RATIO; SPECKLE; ULTRASONIC IMAGING;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL NEURAL NETWORK; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; EVALUATION STUDY; HUMAN; IMAGE ENHANCEMENT; LIVER; METHODOLOGY; NONLINEAR SYSTEM; RADIATION SCATTERING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; SCATTERING, RADIATION; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 34047126000     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.259885     Document Type: Conference Paper

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