Theoretical evaluation of the detectability of random lesions in Bayesian emission reconstruction

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

Volumn 2732, Issue , 2003, Pages 354-365

  Qi, Jinyi ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NEOPLASM; OBSERVER VARIATION; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEOPLASMS; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

BAYESIAN NETWORKS; ECONOMIC AND SOCIAL EFFECTS; INTELLIGENT SYSTEMS; MAXIMUM LIKELIHOOD; MEDICAL IMAGING; MONTE CARLO METHODS; SIGNAL TO NOISE RATIO;

BAYESIAN RECONSTRUCTION; FILTERED BACK-PROJECTION; LESION DETECTABILITY; LOW SIGNAL-TO-NOISE RATIO; MAXIMUM A POSTERIORI; PENALIZED MAXIMUM LIKELIHOOD; THEORETICAL EVALUATION; THEORETICAL EXPRESSION;

IMAGE PROCESSING;

EID: 33746378923     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45087-0_30     Document Type: Review

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