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dc.contributor.authorBeheshti, Maedeh
dc.contributor.authorFaichney, Joton
dc.contributor.authorGharipour, Amin
dc.date.accessioned2017-08-30T05:00:49Z
dc.date.available2017-08-30T05:00:49Z
dc.date.issued2015
dc.identifier.doi10.1109/DICTA.2015.7371241
dc.identifier.urihttp://hdl.handle.net/10072/339299
dc.description.abstractThe accurate segmentation of biomedical images has become increasingly important for recognizing cells that have the phenotype of interest in biomedical applications. In order to improve the conventional deterministic segmentation models, this paper proposes a novel graph-cut cell image segmentation algorithm based on Bayes theorem. There are two segmentation phases in this method. The first phase is an interactive process to specify a preliminary set of regional pixels and the background based on the interactive graph-cut model. In the second phase, final segmentation is calculated based on the idea of Bayes theorem, combining prior information with data. Our idea can be considered an integration of graph-cut methods and Bayes theorem for cell image segmentation. Experimental results show that the proposed model performs better in comparison with several existing methods.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameInternational Conference on Digital Image Computing: Techniques and Applications
dc.relation.ispartofconferencetitle2015 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)
dc.relation.ispartofdatefrom2015-11-23
dc.relation.ispartofdateto2015-11-25
dc.relation.ispartoflocationAdelaide, AUSTRALIA
dc.relation.ispartofpagefrom212
dc.relation.ispartofpageto216
dc.subject.fieldofresearchPattern Recognition and Data Mining
dc.subject.fieldofresearchcode080109
dc.titleBio-Cell Image Segmentation Using Bayes Graph-Cut Model
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorFaichney, Jolon B.
gro.griffith.authorGharipour, Amin
gro.griffith.authorBeheshti, Maedeh


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    Contains papers delivered by Griffith authors at national and international conferences.

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