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Automated measurement of foot deformities : flatfoot, high arch, calcaneal fracture

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Automated measurement of foot deformities : flatfoot, high arch, calcaneal fracture

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dc.contributor.author Skwirczyński, Maciej Jan pl
dc.contributor.author Gąciarz, Tomasz pl
dc.contributor.author Skomorowski, Marek [SAP11008943] pl
dc.contributor.author Wojciechowski, Wadim pl
dc.date.accessioned 2019-08-29T09:33:56Z
dc.date.available 2019-08-29T09:33:56Z
dc.date.issued 2019 pl
dc.identifier.issn 1580-3139 pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/81494
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/pl/legalcode *
dc.title Automated measurement of foot deformities : flatfoot, high arch, calcaneal fracture pl
dc.type JournalArticle pl
dc.description.physical 161-172 pl
dc.abstract.en Radiographic measurements of foot deformities are used to determine, among other things, such conditions as flatfoot, high arch, or calcaneal fracture. Those measurements are achieved by estimating four angles. Manual assessment of those angles is time-consuming not to mention inevitable errors of such approximation. To the best of the authors knowledge, currently there is no research focusing on finding those four angles. In this paper an algorithm for automatic assessment of those angles, based on extremely randomized trees, is being proposed. Moreover this diagnostic assisting system was intended to be as generic as possible and could be applied, to some degree, to other similar problems. To demonstrate usefulness of this method, correlations of automated measurements with manual ones against correlations of manual measurements with manual ones are being compared. The significance level for manual-manual measurements comparison is less than 0.001 in case of all four angles. The significance level for automated-manual measurements comparison is also less than 0.001 in all cases. The results show that the search for the aforementioned angles can be automated. Even with the use of a generic algorithm a high degree of precision can be achieved, allowing for a more efficient diagnosis. pl
dc.subject.en calcaneal fracture pl
dc.subject.en computer aided diagnostic pl
dc.subject.en extremely randomized trees pl
dc.subject.en flatfoot pl
dc.subject.en high arch pl
dc.subject.en x-rays pl
dc.description.volume 38 pl
dc.description.number 2 pl
dc.identifier.doi 10.5566/ias.1980 pl
dc.identifier.eissn 1854-5165 pl
dc.title.journal Image Analysis & Stereology pl
dc.language.container eng pl
dc.affiliation Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej pl
dc.subtype Article pl
dc.rights.original CC-BY-NC; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0 pl
dc.identifier.project ROD UJ / OP pl
.pointsMNiSW [2019 A]: 70


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Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne 4.0 Międzynarodowa