@Article{Garcia-CBM2011,
  IS = { zkontrolovano 10 Jan 2012 },
  UPDATE  = { 2011-12-29 },
  author = {Garc{\'\i}a-Arteaga, Juan David and 
            Kybic, Jan and Li, Wenjing},
  title = {Automatic Colposcopy Video Tissue Classification Using
    Higher Order Entropy Based Registration},
  journal = {Computers in Biology and Medicine},
  year = {2011},
  if = {1.112},
  issn = {0010-4825},
  volume = {41},
  number = {10},
  pages = {960-970},
  month = {October},
  project = {GACR P202/11/0111},
  publisher = {Elsevier},
  address = {Block 6 Westbrook Center, Milton Road, Cambridge, United Kingdom},
  doi = {http://dx.doi.org/10.1016/j.compbiomed.2011.07.010},
  url = {{ftp://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Garcia-CBM2011.pdf}},
  authorship = {50-45-5},
  annote = {Colposcopy is a well-established method to detect and
    diagnose intraepithelial lesions and uterine cervical cancer in
    early stages.During the exam color and texture changes are induced
    by the application of a contrast agent.Our aim is to densely
    quantify the change in the acetowhite decay level for a sequence
    of images captured during a colposcopy examination.},
  keywords={image registration, colposcopy, cervical cancer, 
    computer aided diagnosis},
  doi = {10.1016/j.compbiomed.2011.07.010},
  ut_isi = {000295656300010},
}