Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree

IEEE Transactions on Medical Imaging

Volumn 27, Issue 9, 2008, Pages 1342-1355

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

^a IEEE

^b SIEMENS CORPORATE RESEARCH   (United States)

^c Ultrasound Division   (United States)

Author keywords

Discriminative classifier; Medical image analysis; Supervised learning; Top down image segmentation; Visual object recognition

Indexed keywords

ACOUSTIC WAVES; CHLORINE COMPOUNDS; COMPUTER NETWORKS; FACE RECOGNITION; IMAGE ENHANCEMENT; PROBABILITY; ULTRASONICS;

DISCRIMINATIVE CLASSIFIER; MEDICAL IMAGE ANALYSIS; SUPERVISED LEARNING; TOP-DOWN IMAGE SEGMENTATION; VISUAL OBJECT RECOGNITION;

ULTRASONIC APPLICATIONS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, PRENATAL;

EID: 50549083726     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.928917     Document Type: Article

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