A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability.
The 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 w...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 7/8; pp. 1545 - 1562 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151585395&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151585395 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2021 vid: 59 iid: 7/8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 151585395 151327013 151585395 NLM34245400 10.1007/s11517-021-02388-w NLM34245400 151585395 ppf: 1545 ppct: 17 formats: fmt: @attributes: type: P tig: atl: A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability. aug: au: Albayrak, Abdulkadir Akhan, Asli Unlu Calik, Nurullah Capar, Abdulkerim Bilgin, Gokhan Toreyin, Behcet Ugur Muezzinoglu, Bahar Turkmen, Ilknur Durak-Ata, Lutfiye affil: Department of Computer Engineering, Dicle University, 21280, Diyarbakır, Turkey sug: subj: Cervical Intraepithelial Neoplasia Cervix Neoplasms Observer Bias Benchmarking Female Female ab: The 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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