RIA: Radiomics Image Analysis Toolbox for Medial Images

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.

Version: 1.6.0
Depends: R (≥ 3.3.0)
Imports: oro.dicom (≥ 0.5.0), oro.nifti (≥ 0.9.1), nat (≥ 1.8.11), reticulate (≥ 1.20)
Suggests: knitr, rmarkdown
Published: 2021-07-17
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <marton.kolossvary at gmail.com>
License: AGPL-3
URL: https://pubmed.ncbi.nlm.nih.gov/29233836/
NeedsCompilation: no
Citation: RIA citation info
Materials: README
CRAN checks: RIA results

Downloads:

Reference manual: RIA.pdf
Vignettes: RIA package manual
Package source: RIA_1.6.0.tar.gz
Windows binaries: r-devel: RIA_1.6.0.zip, r-release: RIA_1.6.0.zip, r-oldrel: RIA_1.6.0.zip
macOS binaries: r-release (arm64): RIA_1.5.1.tgz, r-release (x86_64): RIA_1.6.0.tgz, r-oldrel: RIA_1.6.0.tgz
Old sources: RIA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RIA to link to this page.