<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-VNACMJ0X</identifier><date>2014</date><creator>Hamad, Hadi</creator><creator>Tegolo, Domenico</creator><creator>Valenti, Cesare</creator><relation>documents/doc/V/URN_NBN_SI_doc-VNACMJ0X_001.pdf</relation><relation>documents/doc/V/URN_NBN_SI_doc-VNACMJ0X_001.txt</relation><format format_type="issue">3</format><format format_type="volume">33</format><format format_type="type">article</format><format format_type="extent">str. 189-200</format><identifier identifier_type="ISSN">1580-3139</identifier><identifier identifier_type="COBISSID">280277504</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-VNACMJ0X</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">medicinske slike</subject><subject language_type_id="slv">mrežnične žile</subject><subject language_type_id="slv">retinalne vene</subject><subject language_type_id="slv">stereologija</subject><title>Automatic detection and classification of retinal vascular landmarks</title></Record>