Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11786
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMayalı, Berkay-
dc.contributor.authorŞaylığ, Orkun-
dc.contributor.authorYalçın Özuysal, Özden-
dc.contributor.authorPesen Okvur, Devrim-
dc.contributor.authorTöreyin, Behçet Uğur-
dc.contributor.authorÜnay, Devrim-
dc.date.accessioned2021-12-02T18:16:11Z-
dc.date.available2021-12-02T18:16:11Z-
dc.date.issued2020-
dc.identifier.isbn978-1-7281-8073-1-
dc.identifier.urihttps://hdl.handle.net/11147/11786-
dc.description2020 Medical Technologies Congress (TIPTEKNO) -- NOV 19-20, 2020 -- ELECTR NETWORK -- Biyomedikal ve Klinik Muhendisligi Dernegi, Izmir Ekonomi Univ, Izmir Katip Celebi Univen_US
dc.description.abstractCollective 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.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 Medical Technologies Congress (Tiptekno)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWound healingen_US
dc.subjectPhase-contrast optical microscopyen_US
dc.subjectImage processingen_US
dc.subjectDeep learningen_US
dc.titleYara iyileşmesi mikroskopi görüntü serilerinin otomatik analizi - Bir ön-çalışmaen_US
dc.title.alternativeAutomated analysis of wound healing microscopy image series - A preliminary study-
dc.typeConference Objecten_US
dc.authorid0000-0003-4406-2783-
dc.institutionauthorYalçın Özuysal, Özden-
dc.institutionauthorPesen Okvur, Devrim-
dc.departmentİzmir Institute of Technology. Molecular Biology and Geneticsen_US
dc.identifier.wosWOS:000659419900001en_US
dc.identifier.scopus2-s2.0-85099448181en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1tr-
item.grantfulltextopen-
item.openairetypeConference Object-
crisitem.author.dept04.03. Department of Molecular Biology and Genetics-
crisitem.author.dept04.03. Department of Molecular Biology and Genetics-
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File SizeFormat 
Automated_Analysis_of_Wound.pdf298.33 kBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Apr 5, 2024

Page view(s)

28,480
checked on Apr 15, 2024

Download(s)

84
checked on Apr 15, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.