@inproceedings{Borovec-ISBI2013,
  IS = { zkontrolovano 12 Jan 2014 },
  UPDATE   = { 2014-01-06 },
  address = {3 Park Avenue, 17th Floor, New York, USA},
  annote = {The 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 non-rigid
    registration, the proposed method achieves an improved matching on
    both synthetic as well as real histological images of cancer
    lesions.},
  author = {Borovec, Ji{\v r}{\'\i} and Kybic, Jan and Bu{\v s}ta, Michal and 
            Ortiz-de-Solorzano, Carlos and Mu{\~ n}oz-Barrutia, Arrate},
  authorship = {50-35-5-5-5},
  booktitle = {Proceedings of 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  pages    = { 1034--1037 },
book_pages  = { 1818 },
  editor = {},
isbn        = { 978-1-4673-6456-0 },
  day = {7--11},
  Keywords = {Nonrigid registration, superpixels, multiple-class matching, light microscopy images, lung cancer lesions},
  Month = {April},
  Organization = {IEEE},
  Project = {SGS12/190/OHK3/3T/13, GACR P202/11/0111, DPI2009-14115-C03-03, DPI2012-38090-C03-02},
  Psurl = {[Borovec-ISBI2013.pdf]},
  Url = {ftp://cmp.felk.cvut.cz/pub/cmp/articles/borovec/Borovec-ISBI2013.pdf},
  Publisher = {IEEE Computer Society Press},
  Title = {Registration of multiple stained histological sections},
  Venue = {San Francisco, CA, USA},
  Year = {2013},
}