Embryo Spatial Model Reconstruction

dc.authorid Maskeliunas, Rytis/0000-0002-2809-2213
dc.authorid Misra, Sanjay/0000-0002-3556-9331
dc.authorid Dirvanauskas, Darius/0000-0001-5471-1893
dc.authorscopusid 57194771576
dc.authorscopusid 27467587600
dc.authorscopusid 24723196100
dc.authorscopusid 56962766700
dc.authorwosid Maskeliunas, Rytis/J-7173-2017
dc.authorwosid Misra, Sanjay/K-2203-2014
dc.contributor.author Dirvanauskas, Darius
dc.contributor.author Maskeliunas, Rytis
dc.contributor.author Raudonis, Vidas
dc.contributor.author Misra, Sanjay
dc.contributor.other Computer Engineering
dc.date.accessioned 2024-07-05T15:41:17Z
dc.date.available 2024-07-05T15:41:17Z
dc.date.issued 2020
dc.department Atılım University en_US
dc.department-temp [Dirvanauskas, Darius; Maskeliunas, Rytis] Kaunas Univ Technol, Dept Multimedia Engn, LT-51368 Kaunas, Lithuania; [Raudonis, Vidas] Kaunas Univ Technol, Dept Control Syst, LT-51367 Kaunas, Lithuania; [Misra, Sanjay] Atilim Univ, Comp Engn Dept, Ankara, Turkey en_US
dc.description Maskeliunas, Rytis/0000-0002-2809-2213; Misra, Sanjay/0000-0002-3556-9331; Dirvanauskas, Darius/0000-0001-5471-1893 en_US
dc.description.abstract Time lapse microscopy offered new solutions to study embryo development process. It allows embryologist to monitor embryo growth in real time and evaluate them without interfering into their growth environment. Embryo evaluation during growth process is one of the key criteria in embryo selection for fertilization. Live embryo monitoring is time consuming and new tools are offered to automate part of process. Our proposed algorithm gives new possibilities for embryo monitoring. It uses embryo images which are taken from different embryo layers, extracts embryo cell features and returns metrical evaluation to compare different embryos. High number of extracted features shows embryo fragmentation. Other tool whichwe present is spatial embryo model. Features extracted from embryo layers are combined together to spatial model. It allows embryologist to examine embryo model and compare different layers in one space. The obtained spatial embryo model will be later used to develop new algorithms for embryo analysis tasks. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1007/978-3-030-58814-4_65
dc.identifier.endpage 780 en_US
dc.identifier.isbn 9783030588144
dc.identifier.isbn 9783030588137
dc.identifier.issn 0302-9743
dc.identifier.issn 1611-3349
dc.identifier.scopus 2-s2.0-85092933629
dc.identifier.startpage 772 en_US
dc.identifier.uri https://doi.org/10.1007/978-3-030-58814-4_65
dc.identifier.uri https://hdl.handle.net/20.500.14411/3440
dc.identifier.volume 12253 en_US
dc.identifier.wos WOS:000719714800065
dc.institutionauthor Mısra, Sanjay
dc.language.iso en en_US
dc.publisher Springer international Publishing Ag en_US
dc.relation.ispartof 20th International Conference on Computational Science and Its Applications (ICCSA) -- JUL 01-04, 2020 -- ELECTR NETWORK en_US
dc.relation.ispartofseries Lecture Notes in Computer Science
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Image analysis en_US
dc.subject Spatial model en_US
dc.subject Feature extraction en_US
dc.title Embryo Spatial Model Reconstruction en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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