A novel approach to the detection of acromegaly: Accuracy of diagnosis by automatic face classification

Journal of Clinical Endocrinology and Metabolism

Volumn 96, Issue 7, 2011, Pages 2074-2080

  Schneider, Harald J ^a   Kosilek, Robert P ^a   Günther, Manuel ^b   Roemmler, Josefine ^a   Stalla, Günter K ^c   Sievers, Caroline ^c   Reincke, Martin ^a   Schopohl, Jochen ^a   Würtz, Rolf P ^b  

^a LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^b RUHR UNIVERSITY BOCHUM   (Germany)

^c MAX PLANCK INSTITUTE OF PSYCHIATRY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACROMEGALY; ADULT; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CLASSIFIER; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; FACE; FACE CLASSIFICATION SOFTWARE; FEMALE; GENERAL PRACTITIONER; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL EXPERT; PHOTOGRAPHY; PRIORITY JOURNAL;

ACROMEGALY; ADULT; AGED; FACE; FEMALE; HUMANS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 79960108314     PISSN: 0021972X     EISSN: 19457197     Source Type: Journal    
DOI: 10.1210/jc.2011-0237     Document Type: Article

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