Automatic fetal measurements in ultrasound using constrained probabilistic boosting tree

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 571-579

  Carneiro, Gustavo ^a   Georgescu, Bogdan ^a   Good, Sara ^a   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; IMAGE SEGMENTATION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; TWO DIMENSIONAL; ULTRASONIC EQUIPMENT;

AUTOMATIC DELINEATION; AUTOMATIC FETAL MEASUREMENTS; PROBABILISTIC BOOSTING TREE;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING; WHOLE BODY IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, PRENATAL; WHOLE BODY IMAGING;

EID: 79551686761     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_69     Document Type: Conference Paper

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