How to Install and Uninstall octave-brain2mesh.noarch Package on Fedora 36
Last updated: January 13,2025
1. Install "octave-brain2mesh.noarch" package
Please follow the guidelines below to install octave-brain2mesh.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
octave-brain2mesh.noarch
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2. Uninstall "octave-brain2mesh.noarch" package
Please follow the steps below to uninstall octave-brain2mesh.noarch on Fedora 36:
$
sudo dnf remove
octave-brain2mesh.noarch
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$
sudo dnf autoremove
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3. Information about the octave-brain2mesh.noarch package on Fedora 36
Last metadata expiration check: 3:06:38 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : octave-brain2mesh
Version : 0.5
Release : 6.fc36
Architecture : noarch
Size : 29 k
Source : octave-brain2mesh-0.5-6.fc36.src.rpm
Repository : fedora
Summary : A fully automated high-quality brain tetrahedral mesh generation toolbox
URL : http://mcx.space/brain2mesh
License : GPLv2+
Description : The Brain2Mesh toolbox provides a streamlined matlab function to convert
: a segmented brain volumes and surfaces into a high-quality multi-layered
: tetrahedral brain/full head mesh. Typical inputs include segmentation
: outputs from SPM, FreeSurfer, FSL etc. This tool does not handle the
: segmentation of MRI scans, but examples of how commonly encountered
: segmented datasets can be used to create meshes can be found in the
: package named brain2mesh-demos.
Available Packages
Name : octave-brain2mesh
Version : 0.5
Release : 6.fc36
Architecture : noarch
Size : 29 k
Source : octave-brain2mesh-0.5-6.fc36.src.rpm
Repository : fedora
Summary : A fully automated high-quality brain tetrahedral mesh generation toolbox
URL : http://mcx.space/brain2mesh
License : GPLv2+
Description : The Brain2Mesh toolbox provides a streamlined matlab function to convert
: a segmented brain volumes and surfaces into a high-quality multi-layered
: tetrahedral brain/full head mesh. Typical inputs include segmentation
: outputs from SPM, FreeSurfer, FSL etc. This tool does not handle the
: segmentation of MRI scans, but examples of how commonly encountered
: segmented datasets can be used to create meshes can be found in the
: package named brain2mesh-demos.