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A deep learning approach to horse bone segmentation from digitally reconstructed radiographs

dc.contributor.authorVan Houtte, Jeroen
dc.contributor.authorBazrafkan, Shabab
dc.contributor.authorVandenberghe, F.
dc.contributor.authorZheng, G.
dc.contributor.authorSijbers, Jan
dc.date.accessioned2021-10-27T21:00:23Z
dc.date.available2021-10-27T21:00:23Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34239
dc.sourceIIOimport
dc.titleA deep learning approach to horse bone segmentation from digitally reconstructed radiographs
dc.typeProceedings paper
dc.contributor.imecauthorVan Houtte, Jeroen
dc.contributor.imecauthorBazrafkan, Shabab
dc.contributor.imecauthorSijbers, Jan
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage6
dc.source.conference2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)
dc.source.conferencedate6/11/2019
dc.source.conferencelocationIstanbul Turkey
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8936082
imec.availabilityPublished - open access


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