Tunnelling descent: A new algorithm for active contour segmentation of ultrasound images

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

Volumn 2732, Issue , 2003, Pages 246-257

  Tao, Zhong ^a   Jaffe, C Carl ^b   Tagare, Hemant D ^a,c  

^a Yale University   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLOOD; MEDICAL IMAGING; SPECKLE; TISSUE; ULTRASONICS;

ACTIVE CONTOUR SEGMENTATION; ACTIVE CONTOURS; CARDIAC ULTRASOUND; GRADIENT-DESCENT; LOCAL MINIMUMS; TISSUE BOUNDARY; ULTRASOUND IMAGES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ECHOGRAPHY; ENDOCARDIUM; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; COMPUTER SIMULATION; ENDOCARDIUM; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 35248866323     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45087-0_21     Document Type: Article

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