CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology

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dc.authorid0000-0001-6657-9738
dc.contributor.authorAksaç, Alper
dc.contributor.authorÖzyer, Tansel
dc.contributor.authorDemetrick, Douglas J.
dc.contributor.authorAlhajj, Reda
dc.date.accessioned2020-01-20T13:18:19Z
dc.date.available2020-01-20T13:18:19Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractOBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. This helps pathologists to avoid unintended mistakes leading to quality assurance, teaching and evaluation in anatomical pathology. Effectiveness of the tool has been demonstrated by assessing pathologists performance in the grading of breast carcinoma and by comparing inter/intra-observer assessment of grading criteria amongst pathologists reviewing digital breast cancer images. Reproducibility has been assessed by inter-observer (kappa statistics) and intra-observer (intraclass correlation coefficient) concordance rates. RESULTS: CACTUS has been evaluated using a surgical pathology application-the assessment of breast cancer grade. We used CACTUS to present standardized images to four pathologists of differing experience. They were asked to evaluate all images to determine their assessment of Nottingham grade of a series of breast carcinoma cases. For each image, they were asked for their overall grade impression. CACTUS helps and guides pathologists to improve disease diagnosis with higher confidence and thereby reduces their workload and bias. CACTUS can be useful for both disseminating anatomical pathology images for teaching, as well as for evaluating agreement amongst pathologists or against a gold standard for evaluation or quality assurance.
dc.identifier.citationAksaç, A., Özyer, T., Demetrick, D. T. ve Alhajj, R. (2020). CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology. BMC Research Notes, 13(1). https://doi.org/10.1186/s13104-019-4866-z
dc.identifier.doi10.1186/s13104-019-4866-z
dc.identifier.issue1
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1186/s13104-019-4866-z
dc.identifier.urihttps://hdl.handle.net/20.500.12511/4901
dc.identifier.volume13
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherNLM (Medline)
dc.relation.ispartofBMC Research Notesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectMedical Image Analysis
dc.subjectBreast Cancer
dc.subjectHistopathology
dc.subjectAnnotation
dc.subjectGrading
dc.titleCACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
dc.typeArticle

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