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dc.contributor.authorNor Hazlyna, Harun
dc.contributor.authorJuhaida, Abu Bakar
dc.contributor.authorHamirulaini’, Hambali
dc.contributor.authorNurnadia, Mohd Khair
dc.contributor.authorMohd. Yusoff, Mashor
dc.contributor.authorRoseline, Hassan
dc.date.accessioned2020-11-03T01:33:16Z
dc.date.available2020-11-03T01:33:16Z
dc.date.issued2018-11
dc.identifier.citationInternational Journal of Advances in Intelligent Informatics, vol.4(3), 2018, pages 202-211en_US
dc.identifier.issn2442-6571 (print)
dc.identifier.issn2548-3161 (online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/68597
dc.descriptionLink to publisher's homepage at http://ijain.org/en_US
dc.description.abstractSegmentation is the major area of interest in the field of image processing stage. In an automatic diagnosis of acute leukemia disease, the crucial process is to achieve the accurate segmentation of acute leukemia blood image. Generally, there are three requirements of image segmentation for medical purposes, namely; accuracy, robustness and effectiveness which have received considerable critical attention. As such, we propose a new (modified) dark contrast enhancement technique to enhance and automatically segment the acute leukemic cells. Subsequently, we used a fusion 7 × 7 median filter as well as the seeded region growing area extraction (SRGAE) algorithm to minimise the salt-and-pepper noise, apart from preserving the post-segmentation edge. As per the outcomes, the accuracy, sensitivity, and specificity of this method were 91.02%, 83.68%, and 91.57% respectively.en_US
dc.language.isoenen_US
dc.publisherUniversitas Ahmad Dahlanen_US
dc.subjectAcute leukemiaen_US
dc.subjectMedian filteren_US
dc.subjectSeeded region growing areaen_US
dc.subjectExtractionen_US
dc.subjectModified dark contrast enhancementen_US
dc.titleFusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell imagesen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.26555/ijain.v4i3.276
dc.contributor.urlhazlyna@uum.edu.my *en_US
dc.contributor.urljuhaida.ab@uum.edu.myen_US
dc.contributor.urlhamirul@uum.edu.myen_US
dc.contributor.urluwais1973@yahoo.com.myen_US
dc.contributor.urlyusoff@unimap.edu.myen_US
dc.contributor.urlroslin@usm.myen_US


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