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Modern methods of image quality enhancement in intrascopic medical imaging: comparative analysis and development trends

dc.contributor.authorYavorska, Е.en
dc.contributor.authorHryniuk, І.en
dc.contributor.authorYavorskyy, В.en
dc.contributor.authorTiutiunnyk, О.en
dc.contributor.authorPinaiev, В.en
dc.contributor.authorZhukov, А.en
dc.contributor.authorDzierżak, R.en
dc.contributor.authorMarassulov, U.en
dc.contributor.authorЯворська, Є.uk
dc.contributor.authorГринюк, І.uk
dc.contributor.authorЯворський, Б.uk
dc.contributor.authorТютюнник, О.uk
dc.contributor.authorПінаєв, Б.uk
dc.contributor.authorЖуков, О.uk
dc.contributor.authorДзержак, Р.uk
dc.contributor.authorМарасулов, У.uk
dc.date.accessioned2026-01-09T08:34:57Z
dc.date.available2026-01-09T08:34:57Z
dc.date.issued2025
dc.identifier.citationYavorska Е., Hryniuk І., Yavorskyy В., Tiutiunnyk О., Pinaiev В., Zhukov А., Dzierżak R., Marassulov U. Modern methods of image quality enhancement in intrascopic medical imaging: comparative analysis and development trends // Proc. SPIE. Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2025, Vol. 14009, Lublin, Poland, 30 December 2025. Lublin, 2025. DOI: https://doi.org/10.1117/12.3099346.en
dc.identifier.urihttps://ir.lib.vntu.edu.ua//handle/123456789/50408
dc.description.abstractThis article presents a systematic review of modern methods for enhancing image quality in intrascopic diagnostic systems. It discusses the technical aspects of intrascopy, classifies image enhancement algorithms, and analyzes the role of artificial intelligence and deep learning. A comparative analysis of traditional and AI-based methods is provided, along with an outlook on emerging technologies.en
dc.language.isoen_USen_US
dc.publisherSPIEen
dc.relation.ispartofProc. SPIE. Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2025, Vol. 14009, Lublin, Poland, 30 December 2025.en
dc.subjectintrascopyen
dc.subjectimage processingen
dc.subjectquality improvementen
dc.subjectdeep learningen
dc.subjectneural networksen
dc.subjectCLAHEen
dc.subjectBM3Den
dc.titleModern methods of image quality enhancement in intrascopic medical imaging: comparative analysis and development trendsen
dc.typeArticle, Scopus-WoS
dc.typeArticle
dc.identifier.doihttps://doi.org/10.1117/12.3099346
dc.identifier.orcidhttps://orcid.org/0000-0001-6341-1710
dc.identifier.orcidhttps://orcid.org/0009-0002-6204-8707
dc.identifier.orcidhttps://orcid.org/0000-0003-4215-1176
dc.identifier.orcidhttps://orcid.org/0000-0002-8544-4246
dc.identifier.orcidhttps://orcid.org/0000-0001-9592-0640
dc.identifier.orcidhttps://orcid.org/0000-0001-7451-7633
dc.identifier.orcidhttps://orcid.org/0000-0001-5640-0204


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