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dc.rights.licenseUsers may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorRoysam, Badrinath
dc.contributorWozny, M. J. (Michael J.)
dc.contributorFranklin, W. Randolph
dc.contributorThompson, Deanna M.
dc.contributor.authorSharafeddin, Hussein
dc.date.accessioned2021-11-03T09:38:37Z
dc.date.available2021-11-03T09:38:37Z
dc.date.created2009-11-05T09:08:33Z
dc.date.issued2009-12
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2825
dc.descriptionDecember 2009
dc.descriptionSchool of Engineering
dc.descriptionCenter for Subsurface Sensing and Imaging Systems
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer and systems engineering
dc.titleDendritic spine segmentation from 3D confocal microscopic images
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid19866
dc.digitool.pid19867
dc.digitool.pid19869
dc.digitool.pid19868
dc.digitool.pid19870
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Electrical, Computer, and Systems Engineering


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