<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-9ZORQK0P</identifier><date>2013</date><creator>Grahovac, Paul</creator><creator>Lück, Sebastian</creator><creator>Mattfeldt, Torsten</creator><relation>documents/doc/9/URN_NBN_SI_doc-9ZORQK0P_001.pdf</relation><relation>documents/doc/9/URN_NBN_SI_doc-9ZORQK0P_001.txt</relation><format format_type="issue">3</format><format format_type="volume">32</format><format format_type="type">article</format><format format_type="extent">str. 155-165</format><identifier identifier_type="ISSN">1580-3139</identifier><identifier identifier_type="COBISSID">276816128</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-9ZORQK0P</identifier><language>eng</language><publisher>Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta</publisher><source>Image analysis and stereology</source><rights>InC</rights><subject language_type_id="slv">rak prostate</subject><subject language_type_id="slv">razpoznava slik</subject><subject language_type_id="slv">stereologija</subject><title>Multiclass pattern recognition of the gleason score of prostatic carcinomas using methods of spatial statistics</title></Record>