Unified approach for lesion border detection based on mixture modeling and local entropy thresholding

Skin Research and Technology

Volumn 19, Issue 3, 2013, Pages 314-319

  Abbas, Qaisar ^a   Garcia, Irene Fondón ^b   Emre Celebi, M ^c   Ahmad, Waqar ^d   Mushtaq, Qaisar ^d  

^a COMSATS Institute of Information Technology ^*  (Pakistan)

^b School of Engineering Path of Discovery s n   (Spain)

^c Louisiana State University   (United States)

^d National Textile Univrsity 37610   (Pakistan)

Author keywords

Computer aided diagnosis; Dermoscopy; Entropy; Lesion segmentation; Mixture model; Skin cancer

Indexed keywords

AVERAGE ERROR PROBABILITY; DERMOSCOPY; FALSE POSITIVE RATES; LESION SEGMENTATIONS; MIXTURE MODEL; MORPHOLOGICAL RECONSTRUCTION; SKIN CANCERS; STATE-OF-THE-ART METHODS;

COMPUTER AIDED DESIGN; COMPUTER AIDED DIAGNOSIS; DERMATOLOGY; MIXTURES;

ENTROPY;

ALGORITHM; ARTICLE; AUTOMATIC BORDER DETECTION; COMPARATIVE STUDY; DIAGNOSTIC PROCEDURE; ENTROPY; EPILUMINESCENCE MICROSCOPY; FILTER; HUMAN; MAJOR CLINICAL STUDY; NOISE REDUCTION; NORMALIZED SMOOTHING FILTER; PROBABILITY; SKIN DEFECT;

COMPUTER-AIDED DIAGNOSIS; DERMOSCOPY; ENTROPY; LESION SEGMENTATION; MIXTURE MODEL; SKIN CANCER;

ALGORITHMS; COMPUTER SIMULATION; DERMOSCOPY; ENTROPY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 84880383709     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/srt.12047     Document Type: Article

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