<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-CKVB8JTN</identifier><date>2024</date><creator>Wang, Changke</creator><relation>documents/doc/C/URN_NBN_SI_doc-CKVB8JTN_001.pdf</relation><relation>documents/doc/C/URN_NBN_SI_doc-CKVB8JTN_001.txt</relation><format format_type="issue">3</format><format format_type="volume">43</format><format format_type="type">article</format><format format_type="extent">str. 295-304</format><identifier identifier_type="DOI">10.5566/ias.3055</identifier><identifier identifier_type="ISSN">1580-3139</identifier><identifier identifier_type="COBISSID">245314051</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-CKVB8JTN</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">globoko učenje</subject><subject language_type_id="slv">optična koherentna tomografija</subject><subject language_type_id="slv">segmentacija slik</subject><subject language_type_id="slv">U-Net</subject><title>Automatic assessment of OCT skin thickness in mice based on transfer learning and attention mechanisms</title></Record>