How to Install and Uninstall invesalius-bin Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 02,2024

1. Install "invesalius-bin" package

This guide let you learn how to install invesalius-bin on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                invesalius-bin
            
                    
    
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2. Uninstall "invesalius-bin" package

Learn how to uninstall invesalius-bin on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                invesalius-bin
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the invesalius-bin package on Ubuntu 21.04 (Hirsute Hippo)

Package: invesalius-bin
Architecture: amd64
Version: 3.1.99994-1build1
Priority: optional
Section: universe/graphics
Source: invesalius
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1295
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2)
Filename: pool/universe/i/invesalius/invesalius-bin_3.1.99994-1build1_amd64.deb
Size: 263372
MD5sum: 8bcd16b1a404f798c3e3782c667b6315
SHA1: 4a9d42719c5ce5494a6cc38310644bbb5ed93fa8
SHA256: b495ca15bca642643fd4792b8b0040f4fce22f6c87deb49095f707affd48df01
SHA512: 57b7a588fc7c5da7446e3c0fb54de28aa32dae245b8dba5b3354c187e8fdf5f5feaa44e072b1fbe3c20c83fb5093f26da3970544476635a57a41053fde391e81
Homepage: http://www.cti.gov.br/invesalius/
Description-en: Implementation of MIDA and contour based visualizations
InVesalius generates 3D medical imaging reconstructions based on a sequence of
2D DICOM files acquired with CT or MRI equipments.
.
This package contains a compiled implementation of MIDA and some contour based
visualizations
Description-md5: 57304da02acc6c104179b2b8a697654f