Complete Guide: Installing itksnap on Ubuntu 18.04 LTS (Bionic Beaver) 2024

1. Install "itksnap" package

Please follow the steps below to install itksnap on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                itksnap
            
                    
    
    Copied

2. Uninstall "itksnap" package

This guide covers the steps necessary to uninstall itksnap on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                itksnap
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the itksnap package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: itksnap
Architecture: amd64
Version: 3.6.0-2
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 37755
Depends: libc6 (>= 2.15), libgcc1 (>= 1:3.0), libgdcm2.8, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.4.0), libqt5opengl5 (>= 5.0.2), libqt5qml5 (>= 5.0.2), libqt5widgets5 (>= 5.4.0), libstdc++6 (>= 5.2), libvtk6.3, zlib1g (>= 1:1.1.4)
Filename: pool/universe/i/itksnap/itksnap_3.6.0-2_amd64.deb
Size: 6835252
MD5sum: 4b5da258e72cb65449cbeb3753d50b89
SHA1: f44b3ee4cfa07f337f8e003751a77048a0660494
SHA256: 65ec7bc51bd7cf18c6929c39fe024dd8ed831e4f1d5ccc33968069804f0278b8
Homepage: http://www.itksnap.org
Description: semi-automatic segmentation of structures in 3D images
Description-md5: b68c2b3ecddce2d560f1680156d2882f