RIA
1.7.2Radiomics Image Analysis Toolbox for Medial Images
Overview
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>.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 97%
- Return-value docs
- 86%
- References docs
- 100%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
16 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.7.2Latest
- 1.7.12023-05-19 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.7.02023-04-07 · diff ↗
- 1.6.12023-04-04 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.6.02021-07-17 · diff ↗
- 1.5.12021-06-30 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.5.02021-01-29 · diff ↗
- 1.4.32021-01-08 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2017-03-19
- Total releases
- 16 / 9 yrs
- License
- AGPL-3 OSI
- Minimum R
- ≥ 3.3.0
- Bundled data
- 9.7 KB / 3 files
- Download size
- 128 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RIA")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
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