Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43820
DC FieldValueLanguage
dc.contributor.authorPai, Pei-Yanen_US
dc.contributor.authorChang, Chin-Chenen_US
dc.contributor.authorChan, Yung-Kuanen_US
dc.date2012-1-1zh_TW
dc.date.accessioned2014-06-06T08:11:33Z-
dc.date.available2014-06-06T08:11:33Z-
dc.identifier.issn0957-4174zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/43820-
dc.description.abstractIn this paper, a nucleus and cytoplast contour detector (NCC detector) is presented to automatically detect the cytoplast and nucleus contours of a cell in a cervical smear image. The NCC detector uses the adaptable threshold decision (ATD) method to separate the cell from the cervical smear image, and then uses the maximal gray-level-gradient-difference (MGLGD) method, proposed in this paper, to extract the nucleus from the cell. The experimental results show that the NCC detector is superior to two existing methods, the gradient vector flow-active contour model (GVF-ACM) and the edge enhancement nucleus and cytoplast contour (ENNCC) detector, in segmenting the cytoplast and nucleus of a cell.en_US
dc.language.isoen_USzh_TW
dc.relationExpert Systems with Applications, Volume 39, Issue 1,page(s) 154–161.en_US
dc.relation.urihttp://dx.doi.org/10.1016/j.eswa.2011.06.034en_US
dc.subjectCervical smear screeningen_US
dc.subjectCervical canceren_US
dc.subjectThresholdingen_US
dc.subjectImage segmentationen_US
dc.titleNucleus and cytoplast contour detector from a cervical smear imageen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1016/j.eswa.2011.06.034zh_TW
dc.contributor.catalogerWei-Chun Wangen_US
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
item.fulltextno fulltext-
item.grantfulltextnone-
Appears in Collections:資訊管理學系
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