3D prostate segmentation in ultrasound images based on tapered and deformed ellipsoids

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 960-967

  Mahdavi, Seyedeh Sara ^a   Morris, William J ^b   Spadinger, Ingrid ^b   Chng, Nick ^b   Goksel, Orcun ^a   Salcudean, Septimiu E ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b BRITISH COLUMBIA CANCER AGENCY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

3D SEGMENTATION; B-MODE ULTRASOUND IMAGES; BRACHYTHERAPY; CLINICAL USE; LOW DOSE; MANUAL SEGMENTATION; PATIENT IMAGES; PROSTATE CANCERS; PROSTATE SEGMENTATION; RADIATION TREATMENTS; SEGMENTATION PROCEDURE; SEMI-AUTOMATICS; TIME-CONSUMING TASKS; ULTRASOUND IMAGES;

IMAGE QUALITY; IMAGE SEGMENTATION; MEDICAL COMPUTING; RADIOTHERAPY; ULTRASONICS;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; PROSTATE; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATE; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 82155189802     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_116     Document Type: Conference Paper

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