Three-phase general border detection method for dermoscopy images using non-uniform illumination correction

Skin Research and Technology

Volumn 18, Issue 3, 2012, Pages 290-300

  Norton, Kerri Ann ^a   Iyatomi, Hitoshi ^b   Celebi, M Emre ^c   Ishizaki, Sumiko ^d   Sawada, Mizuki ^d   Suzaki, Reiko ^d   Kobayashi, Ken ^d   Tanaka, Masaru ^d   Ogawa, Koichi ^b  

^a RUTGERS UNIVERSITY   (United States)

^b HOSEI UNIVERSITY   (Japan)

^c Louisiana State University   (United States)

^d TOKYO WOMEN'S MEDICAL UNIVERSITY   (Japan)

Author keywords

Melanoma; Non melanocytic lesions; Segmentation; Skin cancer

Indexed keywords

AUTOMATIC SEGMENTATIONS; BORDER DETECTION; CLASSIFICATION PROCESS; DERMOSCOPY IMAGES; ILLUMINATION CORRECTION; MELANOCYTIC SKIN LESIONS; MELANOMA; NON-MELANOCYTIC LESIONS; NON-UNIFORM ILLUMINATION; PRE-PROCESSING; REGION SEGMENTATION; SKIN CANCERS; SKIN LESION;

COMPUTER AIDED DIAGNOSIS; DERMATOLOGY;

IMAGE SEGMENTATION;

ACCURACY; ARTICLE; BASAL CELL CARCINOMA; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; EPILUMINESCENCE MICROSCOPY; HEMANGIOMA; HEMATOMA; HUMAN; ILLUMINATION; IMAGE ANALYSIS; IMAGE PROCESSING; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MELANOCYTIC NEVUS; MELANOCYTIC SKIN LESION; MELANOMA; NOISE REDUCTION; NON MELANOCYTIC SKIN LESION; SEBORRHEIC KERATITIS; SEBORRHEIC KERATOSIS; SKIN DEFECT;

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

EID: 84863550895     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2011.00569.x     Document Type: Article

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