Package: RIA 1.7.2

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:Marton Kolossvary [aut, cre]

RIA_1.7.2.tar.gz
RIA_1.7.2.zip(r-4.7-any)RIA_1.7.2.zip(r-4.6-any)RIA_1.7.2.zip(r-4.5-any)
RIA_1.7.2.tgz(r-4.6-any)RIA_1.7.2.tgz(r-4.5-any)
RIA_1.7.2.tar.gz(r-4.7-any)RIA_1.7.2.tar.gz(r-4.6-any)
RIA_1.7.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RIA/json (API)

# Install 'RIA' in R:
install.packages('RIA', repos = c('https://martonkolossvary.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/martonkolossvary/ria/issues

Datasets:
  • DICOM_codes - Rda containing DICOM header codes to include in _RIA_image_ object
  • Non_NRS - _RIA_image_ object of a plaque without the napkin-ring sign
  • NRS - _RIA_image_ object of a plaque with the napkin-ring sign

On CRAN:

Conda:

3.81 score 26 scripts 408 downloads 5 mentions 7 exports 6 dependencies

Last updated from:ff86944ef8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK129
source / vignettesOK234
linux-releaseOK125
macos-releaseOK185
macos-oldrelOK173
windows-develOK88
windows-releaseOK77
windows-oldrelOK97
wasm-releaseOK97

Exports:load_dicomload_niftiload_npyload_nrrdmerge_RIA_imagesradiomics_allsave_RIA

Dependencies:abindbitopsoro.dicomoro.niftiRcppRNifti