<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-HAVH29II</identifier><date>2014</date><creator>Alilou, Mehdi</creator><creator>Kovalev, Vassili</creator><creator>Snezhko, Eduard</creator><creator>Taimouri, Vahid</creator><relation>documents/doc/H/URN_NBN_SI_doc-HAVH29II_001.pdf</relation><relation>documents/doc/H/URN_NBN_SI_doc-HAVH29II_001.txt</relation><format format_type="issue">1</format><format format_type="volume">33</format><format format_type="type">article</format><format format_type="extent">str. 13-27</format><identifier identifier_type="ISSN">1580-3139</identifier><identifier identifier_type="COBISSID">280239616</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-HAVH29II</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">računalniška tomografija</subject><subject language_type_id="slv">računalniško podprto diagnosticiranje</subject><subject language_type_id="slv">stereologija</subject><title>A comprehensive framework for automatic detection of pulmonary nodules in lung CT images</title></Record>