<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-4T6NBS17</identifier><date>2025</date><creator>Masya, Fajar</creator><creator>Triloka, Joko</creator><creator>Wulandari, Setia</creator><relation>documents/doc/4/URN_NBN_SI_doc-4T6NBS17_001.pdf</relation><relation>documents/doc/4/URN_NBN_SI_doc-4T6NBS17_001.txt</relation><format format_type="issue">16</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 87-96</format><identifier identifier_type="DOI">10.31449/inf.v49i16.6639</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">243383299</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-4T6NBS17</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritem Mask R-CNN</subject><subject language_type_id="slv">algoritem YOLOv5</subject><subject language_type_id="slv">glivične bolezni</subject><subject language_type_id="slv">kožne bolezni</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A comparative study of deep learning algorithms for detecting fungal infection skin diseases</title></Record>