Package: RIA 1.7.2
Marton Kolossvary
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>.
Authors:
RIA_1.7.2.tar.gz
RIA_1.7.2.tar.gz(r-4.5-noble)RIA_1.7.2.tar.gz(r-4.4-noble)
RIA_1.7.2.tgz(r-4.4-emscripten)RIA_1.7.2.tgz(r-4.3-emscripten)
RIA.pdf |RIA.html✨
RIA/json (API)
| # Install 'RIA' in R: |
| install.packages('RIA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- DICOM_codes - Rda containing DICOM header codes to include in _RIA_image_ object
- NRS - _RIA_image_ object of a plaque with the napkin-ring sign
- Non_NRS - _RIA_image_ object of a plaque without the napkin-ring sign
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:f0624a1e9d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 04 2024 |
| R-4.5-linux | OK | Dec 04 2024 |
Exports:load_dicomload_niftiload_npyload_nrrdmerge_RIA_imagesradiomics_allsave_RIA
