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RIA  

Radiomics Image Analysis Toolbox for Medial Images
View on CRAN: Click here


Download and install RIA package within the R console
Install from CRAN:
install.packages("RIA")

Install from Github:
library("remotes")
install_github("cran/RIA")

Install by package version:
library("remotes")
install_version("RIA", "1.7.2")



Attach the package and use:
library("RIA")
Maintained by
Marton Kolossvary
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-19
Latest Update: 2023-05-19
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 .
How to cite:
Marton Kolossvary (2017). RIA: Radiomics Image Analysis Toolbox for Medial Images. R package version 1.7.2, https://cran.r-project.org/web/packages/RIA. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2017-03-19 12:41), 1.0.1 (2017-05-04 17:41), 1.1.0 (2017-06-08 13:36), 1.2.0 (2017-08-11 15:38), 1.3.0 (2017-12-13 19:04), 1.4.0 (2018-03-30 14:46), 1.4.1 (2018-06-24 18:58), 1.4.2 (2019-04-09 06:43), 1.4.3 (2021-01-08 10:20), 1.5.0 (2021-01-29 17:00), 1.5.1 (2021-06-30 18:30), 1.6.0 (2021-07-17 22:10), 1.6.1 (2023-04-04 09:50), 1.7.0 (2023-04-07 20:10), 1.7.1 (2023-05-19 16:50)
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