Estimating maximal measurable performance for automated decision systems from the characteristics of the reference standard. application to diabetic retinopathy screening

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 154-157

  Quellec, Gwenole ^a   Abramoff, Michael D ^b,c  

^a INSERM   (France)

^b UNIVERSITY OF IOWA   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DIAGNOSIS;

AREA UNDER THE ROC CURVE; BINARY DECISION; DECISION SYSTEMS; DEGREE OF CONFIDENCE; DIABETIC RETINOPATHY SCREENING; EXPECTED VALUES; HUMAN READERS; REFERENCE STANDARD;

EYE PROTECTION;

ALGORITHM; AREA UNDER THE CURVE; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; EYE FUNDUS; HUMAN; MASS SCREENING; RECEIVER OPERATING CHARACTERISTIC; STANDARD; STANDARDS;

ALGORITHMS; AREA UNDER CURVE; DIABETIC RETINOPATHY; FUNDUS OCULI; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MASS SCREENING; REFERENCE STANDARDS; ROC CURVE;

EID: 84929497530     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6943552     Document Type: Conference Paper

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