Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis

Computers in Biology and Medicine

Volumn 44, Issue 1, 2014, Pages 144-157

  García Arroyo, Jose Luis ^a   García Zapirain, Begoña ^a  

^a UNIVERSITY OF DEUSTO   (Spain)

Author keywords

Machine learning; Melanoma; Pigment network; Reticular pattern; Structural analysis

Indexed keywords

DERMOSCOPIC IMAGES; DERMOSCOPY IMAGES; DETECTION ALGORITHM; MELANOMA; RETICULAR PATTERN; SET OF RULES; SUPERVISED MACHINE LEARNING;

ALGORITHMS; DERMATOLOGY; LEARNING SYSTEMS; ONCOLOGY;

STRUCTURAL ANALYSIS;

ALGORITHM; ARTICLE; DATA BASE; DECISION TREE; DERMATOLOGIST; DIAGNOSTIC ACCURACY; EPILUMINESCENCE MICROSCOPY; IMAGE PROCESSING; MACHINE LEARNING; MELANOMA; PATTERN RECOGNITION; PIGMENT NETWORK; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SKIN PIGMENTATION; STRUCTURE ANALYSIS;

MACHINE LEARNING; MELANOMA; PIGMENT NETWORK; RETICULAR PATTERN; STRUCTURAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; DERMOSCOPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; SKIN NEOPLASMS; SKIN PIGMENTATION;

EID: 84891153909     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.11.002     Document Type: Article

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