Embryo Spatial Model Reconstruction

dc.authoridMaskeliunas, Rytis/0000-0002-2809-2213
dc.authoridMisra, Sanjay/0000-0002-3556-9331
dc.authoridDirvanauskas, Darius/0000-0001-5471-1893
dc.authorscopusid57194771576
dc.authorscopusid27467587600
dc.authorscopusid24723196100
dc.authorscopusid56962766700
dc.authorwosidMaskeliunas, Rytis/J-7173-2017
dc.authorwosidMisra, Sanjay/K-2203-2014
dc.contributor.authorMısra, Sanjay
dc.contributor.authorMaskeliunas, Rytis
dc.contributor.authorRaudonis, Vidas
dc.contributor.authorMisra, Sanjay
dc.contributor.otherComputer Engineering
dc.date.accessioned2024-07-05T15:41:17Z
dc.date.available2024-07-05T15:41:17Z
dc.date.issued2020
dc.departmentAtılım Universityen_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, Turkeyen_US
dc.descriptionMaskeliunas, Rytis/0000-0002-2809-2213; Misra, Sanjay/0000-0002-3556-9331; Dirvanauskas, Darius/0000-0001-5471-1893en_US
dc.description.abstractTime 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.citation0
dc.identifier.doi10.1007/978-3-030-58814-4_65
dc.identifier.endpage780en_US
dc.identifier.isbn9783030588144
dc.identifier.isbn9783030588137
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopus2-s2.0-85092933629
dc.identifier.startpage772en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-58814-4_65
dc.identifier.urihttps://hdl.handle.net/20.500.14411/3440
dc.identifier.volume12253en_US
dc.identifier.wosWOS:000719714800065
dc.language.isoenen_US
dc.publisherSpringer international Publishing Agen_US
dc.relation.ispartof20th International Conference on Computational Science and Its Applications (ICCSA) -- JUL 01-04, 2020 -- ELECTR NETWORKen_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage analysisen_US
dc.subjectSpatial modelen_US
dc.subjectFeature extractionen_US
dc.titleEmbryo Spatial Model Reconstructionen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication53e88841-fdb7-484f-9e08-efa4e6d1a090
relation.isAuthorOfPublication.latestForDiscovery53e88841-fdb7-484f-9e08-efa4e6d1a090
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relation.isOrgUnitOfPublication.latestForDiscoverye0809e2c-77a7-4f04-9cb0-4bccec9395fa

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