Validation of image analysis techniques to measure skin aging features from facial photographs

Skin Research and Technology

Volumn 21, Issue 4, 2015, Pages 392-402

  Hamer, M A ^a,b   Jacobs, L C ^a,b   Lall, J S ^c   Wollstein, A ^d   Hollestein, L M ^a   Rae, A R ^e   Gossage, K W ^c   Hofman, A ^a   Liu, F ^a   Kayser, M ^a   Nijsten, T ^a,b   Gunn, D A ^c  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b Netherlands Genomics Initiative   (Netherlands)

^c UNILEVER RESEARCH   (United Kingdom)

^d UNIVERSITY OF MUNICH   (Germany)

^e Unilever R and D ^*  (United Kingdom)

Author keywords

Digital; Grading scale; Photonumeric; Pigmented spots; Skin aging; Telangiectasia; Wrinkles

Indexed keywords

IMAGE ANALYSIS; PHOTOGRAPHY;

DIGITAL; GRADING SCALE; PHOTONUMERIC; PIGMENTED SPOTS; SKIN AGING; TELANGIECTASIA; WRINKLES;

GRADING;

AGED; ARTICLE; COHORT ANALYSIS; CUTANEOUS PARAMETERS; DIGITAL IMAGING; FACIES; FEMALE; FOREHEAD; HUMAN; IMAGE ANALYSIS; MALE; MEDICAL PHOTOGRAPHY; NASOLABIAL FOLD; PROSPECTIVE STUDY; SCORING SYSTEM; TELANGIECTASIA; UPPER LIP; VALIDATION PROCESS; WRINKLE; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; FACE; IMAGE ENHANCEMENT; MIDDLE AGED; OBSERVER VARIATION; PATHOLOGY; PHOTOGRAPHY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

FACE; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN AGING;

EID: 84943457250     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/srt.12205     Document Type: Article

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