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  <doc>
    <id>6911</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2017-11-30</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Surgical Tool Presence Detection for Cataract Procedures</title>
    <abstract language="eng">This article outlines the submission to the CATARACTS challenge for automatic tool presence detection [1]. Our approach for this multi-label classification problem comprises labelset-based sampling, a CNN architecture and temporal smothing as described in [3], which we call ZIB-Res-TS.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-69110</identifier>
    <author>Manish Sahu</author>
    <submitter>Manish Sahu</submitter>
    <author>Sabrina Dill</author>
    <author>Anirban Mukhopadyay</author>
    <author>Stefan Zachow</author>
    <series>
      <title>ZIB-Report</title>
      <number>18-28</number>
    </series>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="BMBF-BiOPAss">BMBF-BiOPAss</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6911/[ZIB Report] Surgical Tool Presence Detection for Cataract Procedures.pdf</file>
  </doc>
</export-example>
