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. Detailed methodology has been published: Kolossvary et al. Circ: Cardiovascular Imaging. 2017;10(12):e006843 <doi:10.1161/CIRCIMAGING.117.006843>.

Version:	1.7.2
Depends:	R (≥ 3.3.0)
Imports:	oro.dicom (≥ 0.5.0), oro.nifti (≥ 0.9.1)
Suggests:	knitr, rmarkdown, nat (≥ 1.8.11), reticulate (≥ 1.20)
Published:	2024-01-08
DOI:	10.32614/CRAN.package.RIA
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

Documentation:

Reference manual:

RIA.pdf

Downloads:

Package source:	RIA_1.7.2.tar.gz
Windows binaries:	r-devel: RIA_1.7.2.zip, r-release: RIA_1.7.2.zip, r-oldrel: RIA_1.7.2.zip
macOS binaries:	r-release (arm64): RIA_1.7.2.tgz, r-oldrel (arm64): RIA_1.7.2.tgz, r-release (x86_64): RIA_1.7.2.tgz, r-oldrel (x86_64): RIA_1.7.2.tgz
Old sources:	RIA archive

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