Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/14034
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dc.contributor.authorKarvelis, P.en
dc.contributor.authorLikas, A.en
dc.contributor.authorFotiadis, D. I.en
dc.date.accessioned2015-11-24T17:34:48Z-
dc.date.available2015-11-24T17:34:48Z-
dc.identifier.issn0167-8655-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/14034-
dc.rightsDefault Licence-
dc.subjectchromosome classificationen
dc.subjectwatershed transformen
dc.subjectkaryotypingen
dc.subjectmultiplex fluorescent in situ hybridizationen
dc.subjectimage segmentationen
dc.subjectclassificationen
dc.subjectalgorithmsen
dc.subjectfishen
dc.titleIdentifying touching and overlapping chromosomes using the watershed transform and gradient pathsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.patrec.2010.08.002-
heal.identifier.secondary<Go to ISI>://000283909300005-
heal.identifier.secondaryhttp://ac.els-cdn.com/S0167865510002606/1-s2.0-S0167865510002606-main.pdf?_tid=01bc88a9234f50738897be23ff755411&acdnat=1339757160_b33751087780562e4e2e066c2e33895e-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικώνel
heal.publicationDate2010-
heal.abstractAutomation of chromosome analysis has long been considered as a difficult task However the advent of Multiplex Fluorescence In Situ Hybridization (M-FISH) made the analysis of chromosomes much easier. Nevertheless, the chromosomes in an M-FISH image do very often partially occlude each other: hence, their segmentation is not trivial and requires the application of a dedicated procedure. In this paper a method is presented for the segmentation of touching and overlapping groups of chromosomes in M-FISH images. Initially, the watershed transform is applied and the image is decomposed into watershed regions. Next, gradient paths starting from points of high concavity are computed for each produced region. Finally, adjacent regions are merged producing the final chromosome areas. To validate our method a benchmark database of 183 M-FISH images has been used. The proposed algorithm resulted in a 90.6% success rate for touching chromosomes and 80.4% for overlapping groups of chromosomes. (C) 2010 Elsevier B.V. All rights reserved.en
heal.publisherElsevieren
heal.journalNamePattern Recognition Lettersen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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