Automated detection of malignant features in confocal microscopy on superficial spreading melanoma versus nevi

Journal of Biomedical Optics

Volumn 15, Issue 6, 2010, Pages

  Gareau, Dan ^a,b,c   Hennessy, Ricky ^b   Wan, Eric ^b   Pellacani, Giovanni ^d   Jacques, Steven L ^a,b  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^b Oregon Health and Science University Department of Biomedical Engineering   (United States)

^c MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^d UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

computer vision; confocal microscopy; melanin; melanoma; pathology detection

Indexed keywords

AUTOMATED DETECTION; BASAL CELLS; COMPUTER ALGORITHM; DERMAL-EPIDERMAL JUNCTIONS; EARLY DETECTION; IN-VIVO; MELANIN; MELANOMA; OPTICAL SECTIONS; PATTERN RECOGNITION ALGORITHMS; REFLECTANCE CONFOCAL MICROSCOPIES; VISUAL ASSESSMENTS;

ALGORITHMS; CLIMATE MODELS; COMPUTER VISION; CONFOCAL MICROSCOPY; DERMATOLOGY; MAMMALS;

ONCOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CONFOCAL MICROSCOPY; DIFFERENTIAL DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; MELANOMA; METHODOLOGY; NEVUS; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKIN TUMOR;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MELANOMA; MICROSCOPY, CONFOCAL; NEVUS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 79955136037     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3524301     Document Type: Conference Paper

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