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Volumn 366, Issue 1874, 2008, Pages 2361-2375
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Validation of image segmentation by estimating rater bias and variance
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Author keywords
Expectation maximization; Magnetic resonance imaging; MRI; Segmentation; Tumour; Validation
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Indexed keywords
ALGORITHMS;
ESTIMATION;
EVOLUTIONARY ALGORITHMS;
IMAGE ANALYSIS;
IMAGE PROCESSING;
IMAGE SEGMENTATION;
IMAGING SYSTEMS;
IMAGING TECHNIQUES;
MOBILE TELECOMMUNICATION SYSTEMS;
SET THEORY;
STANDARDS;
(1 1 0) SURFACE;
ACCURACY AND PRECISION;
ANATOMICAL CHARACTERISTICS;
AUTOMATED IMAGE ANALYSIS;
BIAS AND VARIANCE;
CLINICAL DATA;
DIGITAL PHANTOMS;
DISTANCE TRANSFORMS;
DOMAIN EXPERTS (DES);
GROUND TRUTH;
IMAGING DATA;
LEVEL SET (LS);
MEDICAL IMAGES;
NEW ALGORITHM;
PERFORMANCE CHARACTERISTICS;
REFERENCE STANDARDS;
MATHEMATICAL TRANSFORMATIONS;
ALGORITHM;
ANALYSIS OF VARIANCE;
ARTICLE;
BAYES THEOREM;
BIOMETRY;
BRAIN TUMOR;
EPIDEMIOLOGY;
EXPERT WITNESS;
HUMAN;
IMAGE PROCESSING;
IMAGE QUALITY;
NUCLEAR MAGNETIC RESONANCE IMAGING;
PATHOLOGY;
STANDARD;
STATISTICAL MODEL;
STATISTICS;
VALIDATION STUDY;
ALGORITHMS;
ANALYSIS OF VARIANCE;
BAYES THEOREM;
BIAS (EPIDEMIOLOGY);
BIOMETRY;
BRAIN NEOPLASMS;
EXPERT TESTIMONY;
HUMANS;
IMAGE PROCESSING, COMPUTER-ASSISTED;
LIKELIHOOD FUNCTIONS;
MAGNETIC RESONANCE IMAGING;
MODELS, STATISTICAL;
PHANTOMS, IMAGING;
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EID: 45749121580
PISSN: 1364503X
EISSN: None
Source Type: Journal
DOI: 10.1098/rsta.2008.0040 Document Type: Article |
Times cited : (51)
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References (8)
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