Melanomas non-invasive diagnosis application based on the ABCD rule and pattern recognition image processing algorithms

Computers in Biology and Medicine

Volumn 41, Issue 9, 2011, Pages 742-755

  Gola Isasi, A ^a   Garcia Zapirain B ^a   Mendez Zorrilla A ^a  

^a UNIVERSITY OF DEUSTO   (Spain)

Author keywords

Automated diagnosis; Image processing; Melanomas; Pattern recognition

Indexed keywords

AUTOMATED DIAGNOSIS; AUTOMATIC ALGORITHMS; IMAGE PROCESSING ALGORITHM; MEDICAL EXPERTS; MELANOMAS; NON-INVASIVE DIAGNOSIS; QUANTITATIVE FEATURES; RELIABLE SYSTEMS; RGB IMAGES;

ALGORITHMS; DERMATOLOGY; IMAGE PROCESSING; IMAGING SYSTEMS; MEDICAL IMAGING;

PATTERN RECOGNITION SYSTEMS;

ABCD RULE; ALGORITHM; ARTICLE; CANCER DIAGNOSIS; CLASSIFICATION ALGORITHM; DATA BASE; DERMATOLOGICAL PROCEDURES; GLOBULAR PATTERN RECOGNITION ALGORITHM; HOMOGENOUS BLUE PIGMENTATION RECOGNITION ALGORITHM; IMAGE ANALYSIS; IMAGE PROCESSING; MEDICAL EXPERT; MELANOMA; NON INVASIVE MEASUREMENT; ONCOLOGICAL PARAMETERS; PATTERN RECOGNITION; PRIORITY JOURNAL; RESPONSE TIME; RETICULATED PATTERN RECOGNITION ALGORITHM; SKIN COLOR;

ALGORITHMS; DATABASES, FACTUAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MELANOMA; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 80051671202     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.06.010     Document Type: Article

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