Ultrasound image segmentation and tissue characterization

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

Volumn 224, Issue 2, 2010, Pages 307-316

  Noble, J A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Quantitative ultrasound; Ultrasound; Ultrasound image segmentation; Ultrasound tissue characterization

Indexed keywords

AUTOMATED MEASUREMENT; BIOLOGICAL TISSUES; CLINICAL MEDICINE; COMPUTATIONAL POWER; DISEASED TISSUES; OPEN SOFTWARE; QUANTITATIVE TOOL; QUANTITATIVE ULTRASOUNDS; RESEARCH TOPICS; SEMI-AUTOMATED; SIGNAL MODELLING; TIGHTLY-COUPLED; TISSUE CHARACTERIZATION; TRANSDUCER DESIGN; ULTRASOUND IMAGE SEGMENTATION; ULTRASOUND SYSTEM; ULTRASOUND TISSUE CHARACTERIZATION;

DIGITAL IMAGE STORAGE; IMAGE SEGMENTATION; TISSUE; ULTRASONIC TRANSMISSION; ULTRASONICS; AUTOMATION; CHARACTERIZATION; MEDICINE;

ACOUSTIC WAVES; TISSUE;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ECHOGRAPHY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; REVIEW; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; ULTRASONOGRAPHY;

EID: 76849117676     PISSN: 09544119     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544119JEIM604     Document Type: Article

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