<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>422</id>
    <completedYear/>
    <publishedYear>1998</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>135</pageFirst>
    <pageLast>142</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Objective Judgement of Endoscopic Laryngeal Images</title>
    <abstract language="deu">Video Documentation of endoscopic findings simplifies diagnostic  counseling of the patient and aids pre-operative discussion among the medical team. Judgment of such images is still subjective and can  not  give a quantitative evaluation of the disease process  regarding diagnosis or response to treatment. Modern treatment of early  laryngeal cancer with laserablation requires intensive follow up and  frequent direct laryngoscopy under general anesthesia with blind  biopsies to detect any tumor residual or recurrence.  Inflammatory conditions of the larynx are frequently confused with other causes of dysphonia. Mapping anddigital analysis  of the documented image will suggest the tumor site and avoids undue blind biopsies under  anesthesia. However, varying illumination results in different colors  reflected from the same object. To achieve quantitative analysis, color constancy has to be assured. Inthis paper, the environment is presented which allow the objective judgment of larngoscopies.</abstract>
    <parentTitle language="eng">Advances in Quantitative Laryngoscopy, Voice and Speech Research, Proceedings of the 3rd International Workshop, RWTH Aachen</parentTitle>
    <identifier type="url">https://citeseerx.ist.psu.edu/doc_view/pid/caf5bedf5cf68ed3be68054b140a1241f4f278e2</identifier>
    <author>H. Hassan</author>
    <author>Justus F. R. Ilgner</author>
    <author>Christoph Palm</author>
    <author>Thomas M. Lehmann</author>
    <author>Klaus Spitzer</author>
    <author>Martin Westhofen</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Laryngoscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diagnosis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Image  processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quantitative  Image  analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Colorconstancy</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="persons" number="palmremic">Palm, Christoph (Prof. Dr.) - ReMIC</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16314">Lebenswissenschaften und Ethik</collection>
    <collection role="institutes" number="">Labor Regensburg Medical Image Computing (ReMIC)</collection>
  </doc>
</export-example>
