Partial least squares: A method to estimate efficient channels for the ideal observers

IEEE Transactions on Medical Imaging

Volumn 29, Issue 4, 2010, Pages 1050-1058

  Witten, Joel M ^a,b   Park, Subok ^c   Myers, Kyle J ^a  

^a CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

^b Howard Hughes Medical Institute   (United States)

^c CENTER FOR DEVICES AND RADIOLOGICAL HEALTH   (United States)

Author keywords

Bayesian ideal observer; Channelized Hotelling observer; Channelized ideal observer; Efficient channels; Image quality; Partial least squares

Indexed keywords

BAYESIAN; CHANNELIZED HOTELLING OBSERVERS; CHANNELIZED-IDEAL OBSERVERS; EFFICIENT CHANNELS; IDEAL OBSERVERS; PARTIAL LEAST SQUARES;

BAYESIAN NETWORKS; COMPUTER CRIME; IMAGE QUALITY; SINGULAR VALUE DECOMPOSITION;

OPTICAL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; METHODOLOGY; OBSERVER VARIATION; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

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

EID: 77950449616     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2041514     Document Type: Article

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