recipe visceral-evaluatesegmentation

EvaluateSegmentation is a tool that compares two volumes (a test segmentation and a ground truth segmentation) using 22 different metrics that were selected as a result of a comprehensive research into the metrics used in the medical volume segmentations.

Homepage:

https://github.com/Visceral-Project/EvaluateSegmentation

License:

Apache License, Version 2.0

Recipe:

/visceral-evaluatesegmentation/meta.yaml

package visceral-evaluatesegmentation

versions:

2015.07.03-1,  2015.07.03-0,  2015.07.02-1,  2015.07.02-0

depends jpeg:

>=9d,<10a

depends libgcc-ng:

>=7.5.0

depends libitk:

<5

depends libstdcxx-ng:

>=7.5.0

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install visceral-evaluatesegmentation

and update with::

   mamba update visceral-evaluatesegmentation

To create a new environment, run:

mamba create --name myenvname visceral-evaluatesegmentation

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/visceral-evaluatesegmentation:<tag>

(see `visceral-evaluatesegmentation/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/visceral-evaluatesegmentation/README.html)