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dc.contributor.authorBorovec, Jiří
dc.contributor.authorKybic, Jan
dc.contributor.authorBušta, Michal
dc.contributor.authorOrtiz-de-Solórzano, Carlos
dc.contributor.authorMuñoz-Barrutia, Arrate
dc.date.accessioned2014-12-10T14:41:42Z
dc.date.available2014-12-10T14:41:42Z
dc.date.issued2013
dc.identifier.citationBOROVEC, J. - KYBIC, J. - BUŠTA, M. - ORTIZ-DE-SOLORZANO, C. - MUNOZ-BARRUTIA, A.: Registration of multiple stained histological sections. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2013 (ISBI2013). New York: IEEE, 2013, p. 1034-1037. ISBN 978-1-4673-6456-0. DOI: 10.1109/ISBI.2013.6556654eng
dc.identifier.isbn978-1-4673-6456-0
dc.identifier.urihttp://hdl.handle.net/10467/60965
dc.description.abstractThe analysis of protein-level multigene expression signature maps computed from the fusion of differently stained immunohistochemistry images is an emerging tool in cancer management. Creating these maps requires registering sets of histological images, a challenging task due to their large size, the non-linear distortions existing between consecutive sections and to the fact that the images correspond to different histological stains and thus, may have very different appearance. In this manuscript, we present a novel segmentation-based registration algorithm that exploits a multi-class pyramid and optimizes a fuzzy class assignment specially designed for this task. Compared to a standard nonrigid registration, the proposed method achieves an improved matching on both synthetic as well as real histological images of cancer lesions.eng
dc.language.isoencze
dc.publisherIEEEcze
dc.relation.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6556654
dc.rights(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other workseng
dc.subjectnon-rigid registrationeng
dc.subjectsuperpixeleng
dc.subjectmulticlass matchingeng
dc.subjectlight microscopy imageseng
dc.subjectlung cancereng
dc.titleRegistration of multiple stained histological sectionseng
dc.typeArticleeng
dc.identifier.doihttp://dx.doi.org/0.1109/ISBI.2013.6556654


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