[R-pkgs] New Package "radiomics": First and Second Order Matrix Statistics

[joel carlson]

Dear R Users,

I am pleased to inform you that my package, 'radiomics' is now
available on CRAN:
https://cran.r-project.org/web/packages/radiomics/
<http://cran.r-project.org/web/packages/clifro/>

The radiomics package offers 4 classes of texture matrices, and
associated feature sets. These matrices can be used for image
classification, or for extraction of meaningful information from the
input image (as in the case of the research field of radiomics). The
texture matrices are:

 - Gray level co-occurrence matrix (GLCM)

 - Gray level run-length matrix (GLRLM)

 - Gray level size-zone matrix (GLSZM)

 - Multiple gray level size-zone matrix (MGLSZM)

Each of these matrices are calculated from an input grayscale matrix,
and return objects of class 'glcm', 'glrlm', 'glszm' or 'mglszm'.
Features of the matrices can be calculated using the calc_features()
function. calc_features() can also be called on an image matrix, and
will return first-order summary statistics.

The github page can be viewed
here:https://github.com/joelcarlson/radiomics
<https://github.com/ropensci/clifro#enhancing-the-national-climate-database-with-clifro>

Lists of features, and an introduction to the package can be found in
the package vignette.

In-depth explanation of texture analysis matrices can be found here:

http://joelcarlson.me/2015/07/10/radiomics-package/

Any comments, contributions, and feedback are always welcome.

I hope you find this helpful!
Regards
---
Joel Carlson

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