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Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness

contributor authorGlaister, Jeffrey
contributor authorWong, Alexander
contributor authorClausi, David /A/.
date accessioned2020-03-12T18:38:50Z
date available2020-03-12T18:38:50Z
date issued2014
identifier issn0018-9294
identifier other6701329.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/965496?show=full
formatgeneral
languageEnglish
publisherIEEE
titleSegmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness
typeJournal Paper
contenttypeMetadata Only
identifier padid7999160
subject keywordscancer
subject keywordsimage classification
subject keywordsimage segmentation
subject keywordsimage texture
subject keywordsmedical image processing
subject keywordsskin
subject keywordsstatistical analysis
subject keywordsdermatologists
subject keywordsdigital image
subject keywordsillumination-corrected photograph
subject keywordsimage classification
subject keywordsjoint statistical texture distinctiveness
subject keywordsmelanoma
subject keywordsmelanoma classification
subject keywordsnonHispanic white females
subject keywordsnonHispanic white males
subject keywordsrepresentative texture distribution
subject keywordsskin cancer
subject keywordsstandard digital camera
subject keywordstexture distinctiveness metrics
subject keywordstexture-based skin lesion segmentation algorithm
subject keywordsImage
identifier doi10.1109/TBME.2013.2297622
journal titleBiomedical Engineering, IEEE Transactions on
journal volume61
journal issue4
filesize2479939
citations0


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