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dc.contributor.authorKybic, Jan
dc.date.accessioned2014-12-05T16:15:40Z
dc.date.available2014-12-05T16:15:40Z
dc.date.issued2014
dc.identifier.citationKYBIC, J.: Registration of segmented histological images using thin plate splines and belief propagation. In SPIE Medical Imaging. Bellingham: SPIE, 2014, vol. 9034, p. 90343E. ISSN 0277-786X. ISBN 978-0-8194-9827-4. DOI: 10.1117/12.2042317eng
dc.identifier.citationJan Kybic, " Registration of segmented histological images using thin plate splines and belief propagation ", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90343E (March 21, 2014); doi:10.1117/12.2042317; http://dx.doi.org/10.1117/12.2042317eng
dc.identifier.isbn978-0-8194-9827-4
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/10467/60949
dc.description.abstractWe register images based on their multiclass segmentations, for cases when correspondence of local features cannot be established. A discrete mutual information is used as a similarity criterion. It is evaluated at a sparse set of location on the interfaces between classes. A thin-plate spline regularization is approximated by pairwise interactions. The problem is cast into a discrete setting and solved efficiently by belief propagation. Further speedup and robustness is provided by a multiresolution framework. Preliminary experiments suggest that our method can provide similar registration quality to standard methods at a fraction of the computational cost.eng
dc.language.isoencze
dc.publisherSPIEeng
dc.relation.urihttp://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1852531
dc.rightsCopyright 2014 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.eng
dc.titleRegistration of segmented histological images using thin plate splines and belief propagationeng
dc.typeArticleeng
dc.identifier.doihttp://dx.doi.org/10.1117/12.2042317


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