How to Install and Uninstall nifti2dicom Package on Linux Mint 21 (Vanessa)
Last updated: November 22,2024
1. Install "nifti2dicom" package
This guide covers the steps necessary to install nifti2dicom on Linux Mint 21 (Vanessa)
$
sudo apt update
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$
sudo apt install
nifti2dicom
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2. Uninstall "nifti2dicom" package
Learn how to uninstall nifti2dicom on Linux Mint 21 (Vanessa):
$
sudo apt remove
nifti2dicom
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the nifti2dicom package on Linux Mint 21 (Vanessa)
Package: nifti2dicom
Architecture: amd64
Version: 0.4.11-3
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2562
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgdcm3.0 (>= 3.0.7), libinsighttoolkit4.13 (>= 4.13.3withdata-dfsg1), libstdc++6 (>= 9), nifti2dicom-data (= 0.4.11-3)
Filename: pool/universe/n/nifti2dicom/nifti2dicom_0.4.11-3_amd64.deb
Size: 388552
MD5sum: 1a822a813ca2dafef46c61a5f07d23cd
SHA1: 711e2a94278180a37cc615978b56dcf3830d1f16
SHA256: 04b632cd228fb77db32c7e98237cec4c3274ee107f0786485c2ed719ded3cd66
SHA512: b27f714d85e72afe054d09d780a1640c93d9681a87541943c115bd0fed555aef8ed48e3109cf5b6c086a1decf0861c050ee36a56b26f00992a4add3ff73a8c50
Homepage: https://github.com/biolab-unige/nifti2dicom
Description: convert 3D medical images to DICOM 2D series
Description-md5: 01a65afb14332b872aec67f6b9102c97
Architecture: amd64
Version: 0.4.11-3
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2562
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgdcm3.0 (>= 3.0.7), libinsighttoolkit4.13 (>= 4.13.3withdata-dfsg1), libstdc++6 (>= 9), nifti2dicom-data (= 0.4.11-3)
Filename: pool/universe/n/nifti2dicom/nifti2dicom_0.4.11-3_amd64.deb
Size: 388552
MD5sum: 1a822a813ca2dafef46c61a5f07d23cd
SHA1: 711e2a94278180a37cc615978b56dcf3830d1f16
SHA256: 04b632cd228fb77db32c7e98237cec4c3274ee107f0786485c2ed719ded3cd66
SHA512: b27f714d85e72afe054d09d780a1640c93d9681a87541943c115bd0fed555aef8ed48e3109cf5b6c086a1decf0861c050ee36a56b26f00992a4add3ff73a8c50
Homepage: https://github.com/biolab-unige/nifti2dicom
Description: convert 3D medical images to DICOM 2D series
Description-md5: 01a65afb14332b872aec67f6b9102c97