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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorRoysam, Badrinath
dc.contributorWozny, M. J. (Michael J.)
dc.contributorGerhardt, Lester A.
dc.contributorThompson, Deanna M.
dc.contributor.authorWang, Yu
dc.date.accessioned2021-11-03T10:14:29Z
dc.date.available2021-11-03T10:14:29Z
dc.date.created2011-09-19T10:14:09Z
dc.date.issued2011-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3356
dc.descriptionAugust 2011
dc.descriptionSchool of Engineering
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer and systems engineering
dc.titleA broadly applicable 3-D neuron reconstruction framework based on deformable models and software system with parallel GPU implementation
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid30486
dc.digitool.pid30487
dc.digitool.pid30489
dc.digitool.pid30488
dc.digitool.pid30490
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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