Basit öğe kaydını göster

dc.contributor.authorÇapar, Abdulkerim
dc.contributor.authorÇimen Yetiş, Sibel
dc.contributor.authorAladağ, Zeynep
dc.contributor.authorEkinci, Dursun Ali
dc.contributor.authorAyten, Umut Engin
dc.contributor.authorKerman, Bilal Ersen
dc.contributor.authorTöreyin, Behçet Uğur
dc.date.accessioned2021-11-01T07:25:43Z
dc.date.available2021-11-01T07:25:43Z
dc.date.issued2021en_US
dc.identifier.citationÇapar, A., Çimen Yetiş, S., Aladağ, Z., Ekinci, D. A., Ayten, U. E., Kerman, B. E. ... Töreyin, B. U. (2021). A multi-spectral myelin annotation tool for machine learning based myelin quantification [version 1; peer review: 1 not approved]. F1000Research, 9, 1-10. https://dx.doi.org/10.12688/F1000RESEARCH.27139.1en_US
dc.identifier.issn2046-1402
dc.identifier.urihttps://dx.doi.org/10.12688/F1000RESEARCH.27139.1
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8539
dc.description.abstractMyelin is an essential component of the nervous system and myelin damage causes demyelination diseases. Myelin is a sheet of oligodendrocyte membrane wrapped around the neuronal axon. In the fluorescent images, experts manually identify myelin by colocalization of oligodendrocyte and axonal membranes that fit certain shape and size criteria. Because myelin wriggles along x-y-z axes, machine learning is ideal for its segmentation. However, machinelearning methods, especially convolutional neural networks (CNNs), require a high number of annotated images, which necessitates expert labor. To facilitate myelin annotation, we developed a workflow and a software for myelin ground truth extraction from multi-spectral fluorescent images. Additionally, we shared a set of myelin ground truths annotated using this workflow.en_US
dc.language.isoengen_US
dc.publisherF1000 Research Ltden_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectFluorescence Imagesen_US
dc.subjectImage Analysisen_US
dc.subjectMachine Learningen_US
dc.subjectMyelin Annotation Toolen_US
dc.subjectMyelin Quantificationen_US
dc.titleA multi-spectral myelin annotation tool for machine learning based myelin quantification [version 1; peer review: 1 not approved]en_US
dc.typearticleen_US
dc.relation.ispartofF1000Researchen_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER)en_US
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Histoloji ve Embriyoloji Ana Bilim Dalıen_US
dc.authorid0000-0003-1106-3288en_US
dc.identifier.volume9en_US
dc.identifier.startpage1en_US
dc.identifier.endpage10en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.12688/F1000RESEARCH.27139.1en_US
dc.identifier.scopusqualityQ1en_US


Bu öğenin dosyaları:

Thumbnail

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster

info:eu-repo/semantics/openAccess
Aksi belirtilmediği sürece bu öğenin lisansı: info:eu-repo/semantics/openAccess