@inproceedings{Dietenbeck-SPIEMI2014,
  IS = { zkontrolovano 08 Aug 2014 },
  UPDATE  = { 2014-08-05 },
  author =       {Dietenbeck, Thomas and Varray, Fran{\c{c}}ois  and 
                  Kybic, Jan and Basset, Olivier  and Cachard, Christian},
  affiliation={NULL-NULL-13133-NULL-NULL},
  title =        {Neuromuscular fiber segmentation through particle
                  filtering and discrete optimization},
  booktitle =    {SPIE Medical Imaging},
  year =         {2014},
  isbn={9780819498359},
  editor={Ourselin, S. and Styner, M.},
  volume=9034,
  authorship =   {30-30-30-5-5},
  project =      {GACR P202/11/0111},
  doi={10.1117/12.2043257},
  pages={90340B},
  publisher={SPIE},
  book_pages={1250},
  day =          {15--20},
  month={feb},
  venue={San Diego, CA, U.S.A.},
  address={Bellingham, Washington},
  url = {ftp://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Dietenbeck-SPIEMI2014.pdf},
  annote={We present an algorithm to segment a set of parallel,
                  intertwined and bifurcatin g fibers from 3D images,
                  targeted for the identification of neuronal fibers
                  in very large sets of 3D confocal microscopy
                  images. The method consists of preprocessing, local
                  calcula tion of fiber probabilities, seed detection,
                  tracking by particle filtering, global superv ised
                  seed clustering and final voxel segmentation.},
  keywords={segmentation, fibers, tracking},
}