IS = { zkontrolovano 13 Dec 2007 },
  UPDATE  = { 2007-07-24 },
  author =      {Juan D. Garc{\'i}a-Arteaga and Jan Kybic},
  editor =      {Maryellen L. Giger and Nico Karssemeijer},
  title =       {Automatic landmark detection for cervical image 
                 registration validation},
  publisher =   {SPIE},
  year =        {2007},
  volume =      {6514},
  number =      {1},
  eid =         {65142S},
  annote = {Many cervical Computer-Aided Diagnosis (CAD) methods rely
    on measuring gradual appearance changes on the cervix after the
    application of a contrast agent. Image registration has been used
    to ensure pixel correspondence to the same tissue location
    throughout the whole temporal sequence but, to date, there is no
    reliable mean of testing its accuracy to compensate for patient
    and tissue movement.  We present an independent system to use
    automatically extracted and matched features from a colposcopic
    image sequence in order to generate position landmarks. These
    landmarks may be used either to measure the accuracy of a
    registration method to align any pair of images from the
    colposcopic sequence or as a cue for registration.  The algorithm
    selects sets of matched features that extend through the whole
    image sequence allowing to locate, in a reliable and unbiased way,
    a tissue point throughout the whole image sequence. Experiments on
    real colposcopy image sequences show that the approach is robust,
    reliable, and leads to geometrically coherent sets of landmarks
    that correspond to visually recognizable regions. We use the
    extracted landmarks to test the precision of some of the cervical
    registration algorithms previously presented in the literature.},
  pages =       {54 -- 63},
  url =         {http://link.aip.org/link/?PSI/6514/65142S/1},
  booktitle =   {SPIE 2007, Medical Imaging 2007: Computer-Aided Diagnosis},
  address =     {Bellingham, USA},
  ISBN =        {978-0-8194-6632-7},
  book_pages =  {425},
  month =       {February},
  day =         {17 -- 22},
  venue =       {San Diego, USA},
  organization ={SPIE},
  keywords =    {Registration, Computer-Aided Diagnosis, Optical, Colposcopy, Validation},
  project =     {1ET101050403},
  psurl = {PDF},