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<bibitem type="A">   <ARLID>0432047</ARLID> <utime>20240103204650.8</utime><mtime>20150106235959.9</mtime>         <title language="eng" primary="1">Comparative evaluation of image segmentation algorithms for microscopic cross-section samples</title>  <specification> <page_count>2 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0432046</ARLID><title>Proceedings of 18th International Microscopy Congress</title><part_num/><part_title/><page_num>4183-4184</page_num><publisher><place>Prague</place><name>Czechoslovak Microscopy Society</name><year>2014</year></publisher></serial>    <keyword>image segmentation</keyword>   <keyword>performance evaluation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0213982</ARLID> <name1>Beneš</name1> <name2>Miroslav</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept language="eng">Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department language="eng">ZOI</department> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101238</ARLID> <name1>Zitová</name1> <name2>Barbara</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2014/ZOI/benes-0432047.pdf</url> </source>        <cas_special> <project> <project_id>GAP103/12/2211</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0285028</ARLID> </project>  <abstract language="eng" primary="1">We present results of the project aimed at comparative evaluation of image segmentation  algorithms for microscopic cross-section samples. Despite the longtime effort to develop high quality segmentation algorithms, there is no universal segmentation method available.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0306820</ARLID> <name>18th International Microscopy Congress</name> <place>Prague</place> <dates>07.09.2014-12.09.2014</dates>  <country>CZ</country> </action>   <reportyear>2015</reportyear>  <RIV>JD</RIV>     <unknown tag="mrcbC52"> 4 O 4o 20231122140439.9 </unknown> <presentation_type> PO </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0241879</permalink>   <confidential>S</confidential>        <arlyear>2014</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: benes-0432047.pdf </unknown>    <unknown tag="mrcbU63"> cav_un_epca*0432046 Proceedings of 18th International Microscopy Congress 4183 4184 Prague Czechoslovak Microscopy Society 2014 </unknown> </cas_special> </bibitem>