<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-Y6Z3JYS9</identifier><date>2025</date><creator>Dihin, Rasha Ali</creator><creator>Hamza, Nesreen Readh</creator><relation>documents/doc/Y/URN_NBN_SI_doc-Y6Z3JYS9_001.pdf</relation><relation>documents/doc/Y/URN_NBN_SI_doc-Y6Z3JYS9_001.txt</relation><format format_type="issue">13</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 163-173</format><identifier identifier_type="DOI">10.31449/inf.v49i13.7161</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">241198339</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-Y6Z3JYS9</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">ekstrakcija značilnosti</subject><subject language_type_id="slv">kakovost slik</subject><subject language_type_id="slv">mehka logika</subject><subject language_type_id="slv">model VGG19</subject><subject language_type_id="slv">možganski tumor</subject><subject language_type_id="slv">MRI slike</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Brain tumor classification in MRI images using VGG19 with type2 fuzzy logic</title></Record>