<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Radiomics Image Analysis Toolbox for Medial Images</dc:title>
  <dc:title>R package RIA version 1.7.2</dc:title>
  <dc:description>Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI,
             nrrd and npy (numpy array) file formats.
             RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and
             geometry-based statistics. Almost all calculations are done using vectorized formulas to
             optimize run speeds. Calculation of several thousands of parameters only takes minutes
             on a single core of a conventional PC. Detailed methodology has been published: Kolossvary
             et al. Circ: Cardiovascular Imaging. 2017;10(12):e006843 &lt;doi: 10.1161/CIRCIMAGING.117.006843&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3.0)</dc:relation>
  <dc:relation>Imports: oro.dicom (&gt;= 0.5.0), oro.nifti (&gt;= 0.9.1)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, nat (&gt;= 1.8.11), reticulate(&gt;= 1.20)</dc:relation>
  <dc:creator>Marton Kolossvary &lt;marton.kolossvary@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Marton Kolossvary [aut, cre]</dc:contributor>
  <dc:rights>AGPL-3</dc:rights>
  <dc:date>2024-01-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=RIA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.RIA</dc:identifier>
</oai_dc:dc>
