Yara İyileşmesi Mikroskopi Görüntü Serilerinin Otomatik Analizi - Bir Ön-çalışma

dc.contributor.author Mayalı, Berkay
dc.contributor.author Şaylığ, Orkun
dc.contributor.author Yalçın Özuysal, Özden
dc.contributor.author Pesen Okvur, Devrim
dc.contributor.author Töreyin, Behçet Uğur
dc.contributor.author Ünay, Devrim
dc.date.accessioned 2021-12-02T18:16:11Z
dc.date.available 2021-12-02T18:16:11Z
dc.date.issued 2020
dc.description 2020 Medical Technologies Congress (TIPTEKNO) -- NOV 19-20, 2020 -- ELECTR NETWORK -- Biyomedikal ve Klinik Muhendisligi Dernegi, Izmir Ekonomi Univ, Izmir Katip Celebi Univ en_US
dc.description.abstract Collective cell analysis from microscopy image series is important for wound healing research. Computer-based automation of such analyses may help in rapid acquisition of reliable and reproducible results. In this study phase -contrast optical microscopy image series of an in-vitro wound healing essay is manually delineated by two experts and its analysis is realized, traditional image processing and deep learning based approaches for automated segmentation of wound area are developed and their perlOrmance comparisons are carried out. en_US
dc.identifier.isbn 978-1-7281-8073-1
dc.identifier.scopus 2-s2.0-85099448181
dc.identifier.uri https://hdl.handle.net/11147/11786
dc.language.iso tr en_US
dc.publisher IEEE en_US
dc.relation.ispartof 2020 Medical Technologies Congress (Tiptekno) en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Wound healing en_US
dc.subject Phase-contrast optical microscopy en_US
dc.subject Image processing en_US
dc.subject Deep learning en_US
dc.title Yara İyileşmesi Mikroskopi Görüntü Serilerinin Otomatik Analizi - Bir Ön-çalışma en_US
dc.title.alternative Automated analysis of wound healing microscopy image series - A preliminary study en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id 0000-0003-4406-2783
gdc.author.id 0000-0003-4406-2783 en_US
gdc.author.institutional Yalçın Özuysal, Özden
gdc.author.institutional Pesen Okvur, Devrim
gdc.coar.access open access
gdc.coar.type text::conference output
gdc.description.department İzmir Institute of Technology. Molecular Biology and Genetics en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.wosquality N/A
gdc.identifier.wos WOS:000659419900001
gdc.index.type WoS
gdc.index.type Scopus
gdc.scopus.citedcount 2
gdc.wos.citedcount 0
relation.isAuthorOfPublication.latestForDiscovery 8e1732f3-2bf8-4231-b7a4-7e94b485eb97
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4013-8abe-a4dfe192da5e

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