Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

Skin Research and Technology

Volumn 19, Issue 1, 2013, Pages

  Emre Celebi, M ^a   Wen, Quan ^b   Hwang, Sae ^c   Iyatomi, Hitoshi ^d   Schaefer, Gerald ^e  

^a Louisiana State University   (United States)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d HOSEI UNIVERSITY   (Japan)

^e LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED ANALYSIS; AUTOMATED METHODS; BLUE CHANNELS; BORDER DETECTION; CLINICAL PRACTICES; DERMOSCOPY; DERMOSCOPY IMAGES; IMAGING MODALITY; PIGMENTED SKIN LESIONS; STATE-OF-THE-ART METHODS; THRESHOLDING METHODS;

DERMATOLOGY;

DIAGNOSIS;

ACCURACY; ARTICLE; AUTOMATION; CLINICAL PRACTICE; EPILUMINESCENCE MICROSCOPY; IMAGE ANALYSIS; SKIN DEFECT; SKIN EXAMINATION;

ALGORITHMS; DERMOSCOPY; DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MARKOV CHAINS; MELANOMA; NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; SKIN NEOPLASMS;

EID: 84872138761     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2012.00636.x     Document Type: Article

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