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Summary
Oncology
pacchetti Debian Med per l'oncologia

Questo metapacchetto installa strumenti che sono utili per la radiologia oncologica.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Med to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Med mailing list

Links to other tasks

Debian Med Oncology packages

Official Debian packages with high relevance

Dicompyler
piattaforma di ricerca per la radioterapia
Versions of package dicompyler
ReleaseVersionArchitectures
jessie0.4.2-2all
wheezy0.4.1-1-1all
stretch0.4.2-3all
buster0.4.2.0-2all
sid0.4.2.0+git20200106.2643e0e-1all
Popcon: 4 users (2 upd.)*
Versions and Archs
License: DFSG free
Git

Dicompyler è una piattaforma di ricerca per la radioterapia, estensibile e completamente open source, basata sullo standard DICOM. Funziona anche da visualizzatore di DICOM RT multipiattaforma.

Funzionalità:

  • importa immagini CT, insiemi di strutture DICOM RT, file di dosi e programmi RT;
  • sistema di plugin estensibile che include i plugin:
    • visualizzatore di immagini 2D con sovrapposizione di dose e struttura;
    • visualizzatore di istogrammi dose-volume (DVH) con la capacità di analizzare i loro parametri;
    • visualizzatore dell'albero dei dati DICOM;
    • anonimizzatore dei pazienti.
Please cite: A. Panchal and R. Keyes: Dicompyler: An Open Source Radiation Therapy Research Platform with a Plugin Architecture. Medical Physics 37:3245 (2010)
Orthanc-wsi
Whole-slide imaging support for Orthanc (digital pathology)
Versions of package orthanc-wsi
ReleaseVersionArchitectures
buster0.6-2amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x
sid1.0-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye1.0-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
Popcon: 49 users (1 upd.)*
Versions and Archs
License: DFSG free
Git

Orthanc-WSI brings support of whole-slide imaging for digital pathology into Orthanc, the lightweight, RESTful Vendor Neutral Archive for medical imaging.

This package contains two command-line tools to convert whole-slide images to and from DICOM. Support for proprietary file formats is available through OpenSlide. The package also contains an Orthanc plugin to display such DICOM images by any standard Web browser. The implementation follows DICOM Supplement 145.

Please cite: Sebastien Jodogne: The Orthanc Ecosystem for Medical Imaging. J Digit Imaging (2018)
Simrisc
modello di simulazione per il rischio di tumore al seno
Versions of package simrisc
ReleaseVersionArchitectures
bullseye14.02.00-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
sid14.02.00-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
experimental14.05.00-1~exp0amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
upstream14.04.00
Popcon: 1 users (0 upd.)*
Newer upstream!
License: DFSG free
Git

SiMRiSC è un modello di simulazione per lo screening del tumore al seno. È stato in origine progettato da Marcel Greuter circa nel 2010 e poi aggiornato da Chris de Jonge nel 2015. Questa versione attuale è una riscrittura completa dei sorgenti originali di Frank B. Brokken.

Please cite: Du Y, Sidorenkov G, Heuvelmans MA, Groen HJM, Vermeulen KM, Greuter MJW and de Bock GH: Cost-effectiveness of lung cancer screening with low-dose computed tomography in heavy smokers: a microsimulation modelling study. (PubMed,eprint) Breast 135:121-129 (2020)

Official Debian packages with lower relevance

Python3-dicompylercore
core radiation therapy modules for DICOM / DICOM RT used by dicompyler
Versions of package python3-dicompylercore
ReleaseVersionArchitectures
sid0.5.5-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye0.5.5-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
Popcon: 0 users (0 upd.)*
Versions and Archs
License: DFSG free
Git

This package provides a Python3 library of core radiation therapy modules for DICOM / DICOM RT used by dicompyler. It includes:

  • dicomparser: parse DICOM objects in an easy-to-use manner
  • dvh: Pythonic access to dose volume histogram (DVH) data
  • dvhcalc: Independent DVH calculation using DICOM RT Dose & RT Structure Set

Packaging has started and developers might try the packaging code in VCS

Uw-prism
software tools for radiation therapy planning
Versions of package uw-prism
ReleaseVersionArchitectures
VCS1.5-2-1all
Versions and Archs
License: LLGPL
Debian package not available
Git
Version: 1.5-2-1

The Prism project is a long term project to build software tools for radiation therapy planning, including artificial intelligence tools as well as manual simulation systems.

Please cite: I. J. Kalet, J. P. Jacky, M. M. Austin-Seymour, S. M. Hummel, K. J. Sullivan and J. M. Unger: Prism: a new approach to radiotherapy planning software. (PubMed,eprint) Int J Radiat Oncol Biol Phys. 36(2):451-61 (1996)

No known packages available

Planunc
tools for radiotherapy treatment planning
License: needs to be clarified, registration required
Debian package not available

PLanUNC (PLUNC) is a portable, adaptable, and extensible set of software tools for radiotherapy treatment planning (RTP) that has been under active development in the Department of Radiation Oncology at the University of North Carolina (UNC) for approximately 20 years. In 1992, development work branched into separate paths at UNC (PLanUNC) and Sherouse Systems, Inc. (GRATISTM). The current UNC tools encompass the full range of RTP functions including image importing and processing, virtual simulation, dose calculation, plan evaluation, and planning for intensity modulated radiotherapy. PLanUNC source code and related software are licensed without fee to qualified facilities to support research involving new methods for planning and delivering radiation therapy, and to support RTP training for dosimetrists, physicists, radiation therapists, and radiation oncology residents.

*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 203033