Different learning paradigms for the classification of melanoid skin lesions using wavelets

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 3136-3139

  Surówka, Grzegorz ^a   Grzesiak Kopeć, Katarzyna ^a  

^a JAGIELLONIAN UNIVERSITY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; NEURAL NETWORKS; PIXELS; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS;

DERMATOSCOPIC IMAGES; DIAGNOSTIC TOOLS; MELANOMA PROGRESSION;

MEDICAL PROBLEMS;

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

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

EID: 57649181465     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4352994     Document Type: Conference Paper

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