Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists

Artificial Intelligence in Medicine

Volumn 60, Issue 1, 2014, Pages 13-26

  Zortea, Maciel ^a   Schopf, Thomas R ^b   Thon, Kevin ^b   Geilhufe, Marc ^a   Hindberg, Kristian ^a   Kirchesch, Herbert ^c   Møllersen, Kajsa ^b   Schulz, Jörn ^a   Skrøvseth, Stein Olav ^b   Godtliebsen, Fred ^a  

^a UNIVERSITY OF TROMSØ   (Norway)

^b UNIVERSITY HOSPITAL OF NORTH NORWAY   (Norway)

^c Dermatology Office   (Germany)

Author keywords

Computer aided diagnosis; Dermoscopy; Melanoma; Pigmented skin lesions; Skin cancer detection; Supervised classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; COMPUTER VISION; DISEASES; MEDICAL COMPUTING; TEXTURES;

DERMOSCOPY; MELANOMA; PIGMENTED SKIN LESIONS; SKIN CANCERS; SUPERVISED CLASSIFICATION;

DERMATOLOGY;

ARTICLE; BENIGN TUMOR; CAMERA; CLASSIFIER; COLOR; COMPARATIVE STUDY; COMPUTER SYSTEM; CONTROLLED STUDY; CUTANEOUS PARAMETERS; DERMATOLOGIST; DERMATOSCOPE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; EPILUMINESCENCE MICROSCOPY; GEOMETRY; HUMAN; MELANOMA; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SKIN DEFECT; SKIN TEXTURE;

COMPUTER-AIDED DIAGNOSIS; DERMOSCOPY; MELANOMA; PIGMENTED SKIN LESIONS; SKIN CANCER DETECTION; SUPERVISED CLASSIFICATION;

DERMOSCOPY; HUMANS; MELANOMA; SKIN NEOPLASMS; SKIN PIGMENTATION;

EID: 84892869743     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2013.11.006     Document Type: Article

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