Counting moles automatically from back images

IEEE Transactions on Biomedical Engineering

Volumn 52, Issue 11, 2005, Pages 1966-1969

  Lee, Tim K ^a,b   Atkins, M Stella ^a   King, Michael A ^a   Lau, Savio ^a   McLean, David I ^c  

^a SIMON FRASER UNIVERSITY   (Canada)

^b BRITISH COLUMBIA CANCER AGENCY   (Canada)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Adaptive mean shift filters; Biomedical image processing; Image segmentation; Moles; Nevi; Noise removal

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; BIOMEDICAL ENGINEERING; DERMATOLOGY; IMAGE SEGMENTATION; NOISE ABATEMENT; SENSITIVITY ANALYSIS;

ADAPTIVE MEAN SHIFT FILTERS; BIOMEDICAL IMAGE PROCESSING; MOLES; NEVI; NOISE REMOVAL;

MEDICAL IMAGING;

SUNSCREEN;

ALGORITHM; ARTICLE; AUTOANALYSIS; DIAGNOSTIC ACCURACY; EVALUATION; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MELANOMA; NEVUS; SENSITIVITY AND SPECIFICITY; TRUNK;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACK; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEVUS, PIGMENTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 27744567452     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2005.856301     Document Type: Article

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