Package medals details

Performs Memory Efficient Decomposition for Analysis of Local neighborhood moments for Segmentation

medals() performs a method which can be used for segmentation by implementing a decomposition of the local neighborhood moments. It is memory efficient in the sense that only one image is read into memory at any given time.

Maintainer: Jacob Maronge < jmmaronge at gmail.com >

 
From within R, enter citation('medals')


To cite package 'medals' in publications use:

Jacob Maronge (NA). medals: Performs Memory Efficient Decomposition
for Analysis of Local neighborhood moments for Segmentation. R
package version 0.3.0.

A BibTeX entry for LaTeX users is

@Manual{,
title = {medals: Performs Memory Efficient Decomposition for Analysis of Local
neighborhood moments for Segmentation},
author = {Jacob Maronge},
note = {R package version 0.3.0},
}

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('medals')

# from GitHub
neuro_install('medals', release = "stable", release_repo = "github")
neuro_install('medals', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on May 13 2019 12:44PM
Last updated on May 13 2019 12:44PM
Package type standard
Source GitHub https://github.com/JMMaronge/medals GitHub
Neuroconductor GitHub https://github.com/neuroconductor/medals GitHub
DependsR (3.3.0)
Importsneurobase (1.26.1), ANTsRCore (0.6.0), ANTsR (0.4.1.0), extrantsr, dplyr
Suggestsknitr, rmarkdown