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dc.contributor.authorMalon, Christopheren_US
dc.contributor.authorBrachtel, Elenaen_US
dc.contributor.authorCosatto, Ericen_US
dc.contributor.authorGraf, Hans Peteren_US
dc.contributor.authorKurata, Atsushien_US
dc.contributor.authorKuroda, Masahikoen_US
dc.contributor.authorMeyer, John S.en_US
dc.contributor.authorSaito, Akiraen_US
dc.contributor.authorWu, Shulinen_US
dc.contributor.authorYagi, Yukakoen_US
dc.date.accessioned2016-01-04T19:23:35Z
dc.date.issued2012en_US
dc.identifier.citationMalon, Christopher, Elena Brachtel, Eric Cosatto, Hans Peter Graf, Atsushi Kurata, Masahiko Kuroda, John S. Meyer, Akira Saito, Shulin Wu, and Yukako Yagi. 2012. “Mitotic Figure Recognition: Agreement among Pathologists and Computerized Detector.” Analytical cellular pathology (Amsterdam) 35 (2): 97-100. doi:10.3233/ACP-2011-0029. http://dx.doi.org/10.3233/ACP-2011-0029.en
dc.identifier.issn2210-7177en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:23993565
dc.description.abstractDespite the prognostic importance of mitotic count as one of the components of the Bloom – Richardson grade [3], several studies ([2, 9, 10]) have found that pathologists’ agreement on the mitotic grade is fairly modest. Collecting a set of more than 4,200 candidate mitotic figures, we evaluate pathologists' agreement on individual figures, and train a computerized system for mitosis detection, comparing its performance to the classifications of three pathologists. The system’s and the pathologists’ classifications are based on evaluation of digital micrographs of hematoxylin and eosin stained breast tissue. On figures where the majority of pathologists agree on a classification, we compare the performance of the trained system to that of the individual pathologists. We find that the level of agreement of the pathologists ranges from slight to moderate, with strong biases, and that the system performs competitively in rating the ground truth set. This study is a step towards automatic mitosis count to accelerate a pathologist's work and improve reproducibility.en
dc.language.isoen_USen
dc.publisherIOS Pressen
dc.relation.isversionofdoi:10.3233/ACP-2011-0029en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605539/pdf/en
dash.licenseLAAen_US
dc.titleMitotic Figure Recognition: Agreement among Pathologists and Computerized Detectoren
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalAnalytical cellular pathology (Amsterdam)en
dash.depositing.authorBrachtel, Elenaen_US
dc.date.available2016-01-04T19:23:35Z
dc.identifier.doi10.3233/ACP-2011-0029*
dash.contributor.affiliatedYagi, Yukako
dash.contributor.affiliatedBrachtel, Elena
dash.contributor.affiliatedWu, Shulin


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