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Volumn 7512 LNCS, Issue , 2012, Pages 107-114
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Selection of optimal hyper-parameters for estimation of uncertainty in MRI-TRUS registration of the prostate
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Author keywords
[No Author keywords available]
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Indexed keywords
BAYESIAN NETWORKS;
IMAGE SEGMENTATION;
MEDICAL COMPUTING;
MEDICAL IMAGING;
STIFFNESS;
BAYESIAN APPROACHES;
ELASTIC MODELING;
POSTERIOR DISTRIBUTIONS;
POSTERIOR PREDICTIONS;
PRIOR DISTRIBUTION;
PROSTATE IMAGES;
REGISTRATION ACCURACY;
TRANSRECTAL ULTRASOUND;
UROLOGY;
ALGORITHM;
ARTICLE;
AUTOMATED PATTERN RECOGNITION;
COMPUTER ASSISTED DIAGNOSIS;
HUMAN;
IMAGE ENHANCEMENT;
IMAGE SUBTRACTION;
MALE;
METHODOLOGY;
NUCLEAR MAGNETIC RESONANCE IMAGING;
PATHOLOGY;
PROSTATE;
PROSTATE TUMOR;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
STATISTICAL ANALYSIS;
ALGORITHMS;
DATA INTERPRETATION, STATISTICAL;
HUMANS;
IMAGE ENHANCEMENT;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
MAGNETIC RESONANCE IMAGING;
MALE;
PATTERN RECOGNITION, AUTOMATED;
PROSTATE;
PROSTATIC NEOPLASMS;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
SUBTRACTION TECHNIQUE;
MLCS;
MLOWN;
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EID: 84872951900
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-642-33454-2_14 Document Type: Conference Paper |
Times cited : (3)
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References (8)
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