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Radiomics : the value of the numbers in present and future radiology

Radiomics : the value of the numbers in present and ...

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dc.contributor.author Patyk, Mateusz pl
dc.contributor.author Silicki, Jurand pl
dc.contributor.author Mazur, Rafał pl
dc.contributor.author Kręcichwost, Roksana pl
dc.contributor.author Sokołowska Dąbek, Dąbrówka pl
dc.contributor.author Zaleska-Dorobisz, Urszula pl
dc.date.accessioned 2018-05-28T16:28:17Z
dc.date.available 2018-05-28T16:28:17Z
dc.date.issued 2018 pl
dc.identifier.issn 1733-134X pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/54615
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode *
dc.title Radiomics : the value of the numbers in present and future radiology pl
dc.type JournalArticle pl
dc.description.physical e171-e174 pl
dc.description.additional Bibliogr. s. e174 pl
dc.abstract.en Radiomics is a new concept that has been functioning in medicine for only a few years. This idea, created recently, relies on processing innumerable quantities of metadata acquired from every examination, followed by extraction thereof from relevant imaging examinations, such as computer tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET) images, by means of appropriate created algorithms. The extracted results have great potential and broad possibilities of application. Thanks to these we can verify efficiency of treatment, predict locations of metastases of tumours, correlate results with histopathological examinations, or define the type of cancer more precisely. In effect, we obtain more personalised treatment for each patient, which is extremely important and highly recommendable in the tests and applicable treatment therapies conducted nowadays. Radiomics is a non-invasive and high efficiency post-processing method. This article is intended to explain the idea of radiomics, the mechanisms of data acquisition, existing possibilities, and the challenges incurred by radiologists and physicians at the stage of making diagnosis or conducting treatment. pl
dc.subject.en radiomics pl
dc.subject.en biomarkers pl
dc.subject.en treatment response pl
dc.subject.en quantitative imaging pl
dc.subject.en segmentation pl
dc.subject.en image features pl
dc.subject.en precision medicine pl
dc.subject.en informatics pl
dc.subject.en machine learning pl
dc.description.volume 83 pl
dc.identifier.doi 10.5114/pjr.2018.75794 pl
dc.identifier.eissn 1899-0967 pl
dc.title.journal Polish Journal of Radiology pl
dc.language.container eng pl
dc.subtype ReviewArticle pl
dc.rights.original CC-BY-NC-ND; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0 pl


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Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska