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dc.contributor.authorAlbayrak, Abdulkadir
dc.contributor.authorÜnlü Akhan, Aslı
dc.contributor.authorÇalık, Nurullah
dc.contributor.authorÇapar, Abdulkerim
dc.contributor.authorBilgin, Gökhan
dc.contributor.authorTöreyin, Behçet Uğur
dc.contributor.authorMüezzinoğlu, Bahar
dc.contributor.authorTürkmen, İlknur
dc.contributor.authorDurak Ata, Lütfiye
dc.date.accessioned2021-08-05T07:23:29Z
dc.date.available2021-08-05T07:23:29Z
dc.date.issued2021en_US
dc.identifier.citationAlbayrak, A., Ünlü Akhan, A., Çalık, N., Çapar, A., Bilgin, G., Töreyin, B. U. ... Durak Ata, L. (2021). A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability. Medical and Biological Engineering and Computing, 59(7-8), 1545-1561. https://dx.doi.org/10.1007/s11517-021-02388-wen_US
dc.identifier.issn0140-0118
dc.identifier.issn1741-0444
dc.identifier.urihttps://dx.doi.org/10.1007/s11517-021-02388-w
dc.identifier.urihttps://hdl.handle.net/20.500.12511/7681
dc.description.abstracthe cervical cancer developing from the precancerous lesions caused by the human papillomavirus (HPV) has been one of the preventable cancers with the help of periodic screening. Cervical intraepithelial neoplasia (CIN) and squamous intraepithelial lesion (SIL) are two types of grading conventions widely accepted by pathologists. On the other hand, inter-observer variability is an important issue for final diagnosis. In this paper, a whole-slide image grading benchmark for cervical cancer precursor lesions is created and the “Uterine Cervical Cancer Database” introduced in this article is the first publicly available cervical tissue microscopy image dataset. In addition, a morphological feature representing the angle between the basal membrane (BM) and the major axis of each nucleus in the tissue is proposed. The presence of papillae of the cervical epithelium and overlapping cell problems are also discussed. Besides that, the inter-observer variability is also evaluated by thorough comparisons among decisions of pathologists, as well as the final diagnosis. [Figure not available: see fulltext.].en_US
dc.description.sponsorshipIstanbul Technical University ; Yildiz Technical Universityen_US
dc.language.isoengen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCervical Canceren_US
dc.subjectCervical Intraepithelial Neoplasia (CIN)en_US
dc.subjectDigital Pathologyen_US
dc.subjectHistopathological Imagesen_US
dc.subjectHuman Papillomavirusen_US
dc.subjectInter-Observer Variabilityen_US
dc.subjectMorphological Featuresen_US
dc.subjectSquamous Intraepithelial Lesion (SIL)en_US
dc.subjectWhole-Slide Imagingen_US
dc.titleA whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variabilityen_US
dc.typearticleen_US
dc.relation.ispartofMedical and Biological Engineering and Computingen_US
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü, Tıbbi Patoloji Ana Bilim Dalıen_US
dc.identifier.volume59en_US
dc.identifier.issue7-8en_US
dc.identifier.startpage1545en_US
dc.identifier.endpage1561en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/s11517-021-02388-wen_US
dc.identifier.wosqualityQ2en_US
dc.identifier.scopusqualityQ2en_US


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