Package RIA details

  Package Description
Radiomics Image Analysis Toolbox for Medial Images

Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI and nrrd 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.

Maintainer: Marton Kolossvary < marton.kolossvary at gmail.com >

Documentation

 
  Citation
From within R, enter citation('RIA')

 
  Issues

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
  Versions(Pending - no previous version)
 
  Installation
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('RIA')

# from GitHub
neuro_install('RIA', release = "stable", release_repo = "github")
neuro_install('RIA', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 
  Details

Initially submitted on September 16 2019 2:33PM
Last updated on March 31 2021 10:00AM
Package type standard
Source GitHub https://github.com/cran/RIA GitHub
Neuroconductor GitHub https://github.com/neuroconductor/RIA GitHub
DependsR (3.3.0)
Importsoro.dicom (0.5.0), oro.nifti (0.9.1), nat (1.8.11)
Suggestsknitr, rmarkdown