Ideal observers and optimal ROC hypersurfaces in N-class classification

IEEE Transactions on Medical Imaging

Volumn 23, Issue 7, 2004, Pages 891-895

  Edwards, Darrin C ^a   Metz, Charles E ^a   Kupinski, Matthew A ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

Ideal observer; N class classification; ROC analysis

Indexed keywords

ERROR ANALYSIS; FUNCTIONS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY; SIGNAL RECEIVERS; VECTORS;

FALSE-POSITIVE FRACTION (FPF); IDEAL OBSERVER; N-CLASS CLASSIFICATION; RECEIVER OPERATING CHARACTERISTIC (ROC);

MEDICAL IMAGING;

ARTICLE; BAYES THEOREM; DECISION THEORY; HUMAN; PROBABILITY; ROC CURVE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; DECISION THEORY; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; PROBABILITY; ROC CURVE;

EID: 3142777803     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2004.828358     Document Type: Article

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