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Automated segmentation of abnormal cervical cells using global and local graph cuts

date accessioned2020-03-12T20:23:52Z
date available2020-03-12T20:23:52Z
date issued2014
identifier other6867914.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1013024?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAutomated segmentation of abnormal cervical cells using global and local graph cuts
typeConference Paper
contenttypeMetadata Only
identifier padid8136000
subject keywordsevolutionary computation
subject keywordsinvestment
subject keywordsoptimisation
subject keywordspensions
subject keywordsstock markets
subject keywordsPER
subject keywordsfinancial ratio
subject keywordsfundamental indicator
subject keywordshedge funds
subject keywordsinvestment model
subject keywordsmarket capitalization
subject keywordsmultiobjective EA
subject keywordsmultiobjective evolutionary algorithms
subject keywordsmutual funds
subject keywordsnet income growth rate
subject keywordsoperating leverage
subject keywordspension funds
subject keywordsportfolio composition
subject keywordsportfolio optimization
subject keywordsprofit margin
subject keywordsreturn on investment
subject keywordsrevenue growth
subject keywordsstock market
subject keywordsstock selection
subject keywordstechnical indicators
subject keywordsAnalytical models
subject keywordsBiological cells
subject keywordsCo
identifier doi10.1109/CIFEr.2014.6924068
journal titleiomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
filesize884146
citations0
contributor rawauthorZhang, Ling , Kong, Hui , Chin, Chien Ting , Liu, Shaoxiong , Wang, Tianfu , Chen, Siping


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