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dc.contributor.authorLi, Gang
dc.contributor.authorLiu, Tianming
dc.contributor.authorTarokh, Ashley
dc.contributor.authorNie, Jingxin
dc.contributor.authorGuo, Lei
dc.contributor.authorMara, Andrew
dc.contributor.authorHolley, Scott
dc.contributor.authorWong, Stephen TC
dc.date.accessioned2012-12-10T19:41:43Z
dc.date.issued2007
dc.identifier.citationLi, Gang, Tianming Liu, Ashley Tarokh, Jingxin Nie, Lei Guo, Andrew Mara, Scott Holley, and Stephen TC Wong. 2007. 3D cell nuclei segmentation based on gradient flow tracking. BMC Cell Biology 8: 40.en_US
dc.identifier.issn1471-2121en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10021572
dc.description.abstractBackground: Reliable segmentation of cell nuclei from three dimensional (3D) microscopic images is an important task in many biological studies. We present a novel, fully automated method for the segmentation of cell nuclei from 3D microscopic images. It was designed specifically to segment nuclei in images where the nuclei are closely juxtaposed or touching each other. The segmentation approach has three stages: 1) a gradient diffusion procedure, 2) gradient flow tracking and grouping, and 3) local adaptive thresholding. Results: Both qualitative and quantitative results on synthesized and original 3D images are provided to demonstrate the performance and generality of the proposed method. Both the over-segmentation and under-segmentation percentages of the proposed method are around 5%. The volume overlap, compared to expert manual segmentation, is consistently over 90%. Conclusion: The proposed algorithm is able to segment closely juxtaposed or touching cell nuclei obtained from 3D microscopy imaging with reasonable accuracy.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofdoi://10.1186/1471-2121-8-40en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2064921/pdf/en_US
dash.licenseLAA
dc.subjecttissue sectionsen_US
dc.subjectalgorithmen_US
dc.subjectimagesen_US
dc.subjectmodelen_US
dc.title3D Cell Nuclei Segmentation Based on Gradient Flow Trackingen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBMC Cell Biologyen_US
dash.depositing.authorLi, Gang
dc.date.available2012-12-10T19:41:43Z
dash.affiliation.otherHMS^Otology and Laryngologyen_US
dc.identifier.doi10.1186/1471-2121-8-40*
dash.contributor.affiliatedLi, Gang


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