<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-AJ52T3U5</identifier><date>2021</date><creator>Dinevski, Dejan</creator><creator>Petrun, Tamara</creator><creator>Žnidarič, Tanja</creator><relation>documents/doc/A/URN_NBN_SI_doc-AJ52T3U5_001.pdf</relation><relation>documents/doc/A/URN_NBN_SI_doc-AJ52T3U5_001.txt</relation><format format_type="issue">1/2</format><format format_type="volume">26</format><format format_type="type">article</format><format format_type="extent">str. 14-20</format><identifier identifier_type="COBISSID_HOST">111583235</identifier><identifier identifier_type="ISSN">1318-2129</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-AJ52T3U5</identifier><language>slv</language><publisher publisher_location="Ljubljana">Slovensko društvo za medicinsko informatiko</publisher><source>Informatica Medica Slovenica</source><rights>InC</rights><subject language_type_id="slv">delovni procesi</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="eng">oncology</subject><subject language_type_id="slv">onkologija</subject><subject language_type_id="slv">radiologija</subject><subject language_type_id="eng">radiology</subject><subject language_type_id="slv">Radioterapija</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">Umetna inteligenca</subject><subject language_type_id="eng">work processes</subject><title>The role of artificial intelligence in delineation of target volumes and organs at risk in radiotherapy</title><title>Vloga umetne inteligence v radioterapiji pri risanju tarčnih volumnov in volumnov rizičnih organov</title></Record>