Automatic mitral valve inflow measurements from doppler echocardiography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 983-990

  Park, JinHyeong ^a   Zhou, S Kevin ^a   Jackson, John ^b   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b Ultrasound Division   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; CLINICAL WORK FLOW; DOPPLER ECHOCARDIOGRAPHY; DOPPLER MEASUREMENT; DOPPLER SPECTRA; HEART VALVES; IMAGE APPEARANCE; MITRAL VALVES; ROBUST ALGORITHM;

COMPUTER SCIENCE; DOPPLER EFFECT; LEARNING ALGORITHMS; MEDICAL COMPUTING; VALVES (MECHANICAL);

ECHOCARDIOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BLOOD FLOW VELOCITY; COMPUTER ASSISTED DIAGNOSIS; DOPPLER ECHOCARDIOGRAPHY; ECHOGRAPHY; FLOW KINETICS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MITRAL VALVE; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BLOOD FLOW VELOCITY; ECHOCARDIOGRAPHY, DOPPLER; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MITRAL VALVE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RHEOLOGY; SENSITIVITY AND SPECIFICITY;

EID: 58849108663     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_117     Document Type: Conference Paper

References (7)

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