<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-6F3K9RW6</identifier><date>2025</date><creator>Panchami, Baskaran</creator><creator>Singh, Pravin Kumar</creator><relation>documents/doc/6/URN_NBN_SI_doc-6F3K9RW6_001.pdf</relation><relation>documents/doc/6/URN_NBN_SI_doc-6F3K9RW6_001.txt</relation><format format_type="issue">3</format><format format_type="volume">44</format><format format_type="type">article</format><format format_type="extent">str. 183-196, IX</format><identifier identifier_type="DOI">105566/ias.3741</identifier><identifier identifier_type="ISSN">1580-3139</identifier><identifier identifier_type="COBISSID">288443907</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-6F3K9RW6</identifier><language>eng</language><publisher publisher_location="Ljubljana">Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta</publisher><source>Image analysis and stereology</source><rights>BY</rights><subject language_type_id="slv">fonovibrogram</subject><subject language_type_id="slv">funkcionalne glasovne motnje</subject><subject language_type_id="slv">glasovne motnje</subject><subject language_type_id="slv">klasifikacija</subject><subject language_type_id="slv">modeli globokega učejna</subject><subject language_type_id="slv">visokohitrostna videoendoskopija</subject><title>Comparison of deep learning models for voice disorder classification using phonovibrographic images</title></Record>