Show simple item record

Data creatorKrill, Carl Edc.creator
Data creatorWang, Mingyandc.creator
Date of accession2019-05-10T14:00:10Zdc.date.accessioned
Available in OPARU since2019-05-10T14:00:10Zdc.date.available
Year of creation2015-07-04/2015-12-04dc.date.created
Date of first publication2019-05-10dc.date.issued
AbstractThis data set contains CT image data of the microstructure of an AlCu-sample with poorly visible grain boundaries and matched 3DXRD with true grain boundary information. The data set can be used for training neural networks for predicting grain boundaries from CT data.dc.description.abstract
Languageen_USdc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseCC BY 4.0 Internationaldc.rights
Link to license texthttp://creativecommons.org/licenses/by/4.0/dc.rights.uri
KeywordCT, 3DXRD, labeled grain boundariesdc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
Dewey Decimal GroupDDC 500 / Natural sciences & mathematicsdc.subject.ddc
TitleMachine learning techniques for the segmentation of tomographic image data of functional materials : CT and 3DXRD measurements of an Al-5 wt. % Cu alloydc.title
Resource typeForschungsdatendc.type
DOIhttp://dx.doi.org/10.18725/OPARU-14094dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-14151-5dc.identifier.urn
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Funktionelle Nanosystemeuulm.affiliationSpecific
DCMI TypeImageuulm.typeDCMI
DCMI TypeDatasetuulm.typeDCMI
CategoryForschungsdatenuulm.category
In cooperation withJules Dake (Institue of Functional Nanosystems, Ulm University)uulm.cooperation
In cooperation withSøren Schmidt (Department of Physcis, Technical University of Denmark)uulm.cooperation
Bibliographyuulmuulm.bibliographie


Files in this item

This item appears in the following Collection(s)

Show simple item record