<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-ROPYQSP8</identifier><date>2025</date><creator>Adeshina, A.M.</creator><relation>documents/doc/R/URN_NBN_SI_doc-ROPYQSP8_001.pdf</relation><relation>documents/doc/R/URN_NBN_SI_doc-ROPYQSP8_001.txt</relation><format format_type="issue">11</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 45-56</format><identifier identifier_type="DOI">10.31449/inf.v49i11.5661</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">239741955</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-ROPYQSP8</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">izmenjava podatkov</subject><subject language_type_id="slv">klinični podatki</subject><subject language_type_id="slv">kriptografija</subject><subject language_type_id="slv">medicinske slike</subject><subject language_type_id="slv">steganografija</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Measuring fidelity of steganography approach in securing clinical data sharing platform using peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM)</title></Record>