Development and evaluation of an automatic acne lesion detection program using digital image processing

Skin Research and Technology

Volumn 19, Issue 1, 2013, Pages

  Min, Seonguk ^a,b   Kong, Hyoun Joong ^a   Yoon, Chiyul ^a   Kim, Hee Chan ^a   Suh, Dae Hun ^a,b  

^a Seoul National University College of Medicine   (South Korea)

^b Seoul National University Hospital   (South Korea)

Author keywords

Acne; Image processing; Lesion counting; Program development

Indexed keywords

ACNE; HIGH DEGREE OF VARIABILITY; LESION COUNTING; LESION DETECTION; POSITIVE PREDICTIVE VALUES; PROGRAM DEVELOPMENT; REPRODUCIBILITIES;

DERMATOLOGY;

IMAGE PROCESSING;

ACNE; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATIC ACNE LESION PROGRAM; CLINICAL ARTICLE; CLINICAL ASSESSMENT TOOL; CLINICAL EVALUATION; COMEDO; CONTROLLED STUDY; DERMATOLOGIST; DISEASE SEVERITY; FEMALE; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; MALE; PAPULE; PREDICTIVE VALUE; PUSTULE; SENSITIVITY AND SPECIFICITY; SKIN NODULE;

ACNE VULGARIS; ADOLESCENT; ADULT; ALGORITHMS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SEVERITY OF ILLNESS INDEX; SOFTWARE DESIGN; YOUNG ADULT;

EID: 84872152711     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2012.00660.x     Document Type: Article

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