@MastersThesis{Holinka-TR-2006-15,
  IS = { zkontrolovano 02 Jan 2007 },
  UPDATE  = { 2006-12-13 },
  author =	 {Holinka, {\v S}t{\v e}p{\'a}n},
  supervisor =	 {{\v S}{\'a}ra, Radim},
  language =	 {czech},
  title =	 { Po{\v c}{\' \i}ta{\v c}ov{\' a} podpora diagnostiky 
                   {\v s}t{\' \i}tn{\' e} {\v z}l{\' a}zy},
  e_title =	 {Methods for Computer Aided Diagnosis of Thyroid Gland },
  school =	 {Center for Machine Perception, K13133 FEE Czech Technical
                  University},
  address =	 {Prague, Czech Republic},
  year =	 {2006},
  month =	 {February},
  day =		 {21},
  type =	 { MSc Thesis CTU--CMP--2006--15 },
  issn =	 {1213-2365},
  pages =	 {53},
  figures =	 {25},
  authorship =	 {100},
  psurl =	 {[Holinka-TR-2006-15.pdf]},
  project =	 {1ET101050403},
  annote = {Ultrasonography is a relatively cheap and quick
    non-invasive diagnostic medical imaging technique. It is used in
    addition to antibody test and thyroid biopsy to diagnose thyroid
    disease called Hashimoto's Thyroiditis. So far, analysis of
    sonographic images is done manually by a physician from B-mode
    sonograms. Our previous attempt to quantify the image analysis was
    based on textural recognition using Muzzolini's features. This
    thesis is concerned with the implementation of a system aiding
    manual diagnostic process done by the physician, based on the
    constructed classifier. Further, we deal with the question ``Can
    the presence or absence of thyroid antibodies (TPOAb and TgAb) be
    predicted from sonographic images?'' The conclusion of this thesis
    is that spatial texture features used do not have the capability
    to distinguish between the presence or absence of TPOAb and TgAb
    antibodies unambiguously.},
  keywords =	 {medical imaging, sonography, thyroid, diagnostic methods},
}