Projects: pypi: dicom

https://packages.ecosyste.ms/registries/pypi.org/packages/dicom

Pure python package for DICOM medical file reading and writing
1 version
Latest release: over 9 years ago
2 dependent packages
1,780 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: DICOM in Python (organization)
development for software, modules, and containers for dicom applications that use Python
README Analysis: DOI Found
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +2 Science terms in README
    1 scientific terms found in README
  • +10 DOI references
    1 DOI references found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning dicom 5

10.1007/s10278-018-0154-z
Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers
Cited by: 5
Author(s): Dmytro Lituiev, Hari Trivedi, Maryam Panahiazar, Beau Norgeot, Youngho Seo, Benjamin L. Franc, Roy Harnish, Michael Kawczynski, Dexter Hadley
Software Mentions: 8
Published: over 7 years ago
10.12688/f1000research.17139.3
Radtools: R utilities for convenient extraction of medical image metadata
Cited by: 2
Author(s): Pamela Russell, Debashis Ghosh
Software Mentions: 4
Published: over 7 years ago
10.1007/s11548-021-02332-1
Agreement between rhinomanometry and computed tomography-based computational fluid dynamics
Cited by: 11
Author(s): Manuel Berger, Aris Ι. Giotakis, Martin Pillei, Andreas Mehrle, Michael Kraxner, Florian Kral, Wolfgang Recheis, Herbert Riechelmann, Wolfgang Freysinger
Software Mentions: 3
Published: over 5 years ago
10.3389/fninf.2014.00053
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer
Cited by: 8
Author(s): David Gutman, William D. Dunn, Jake Cobb, Richard Martin Stoner, Jayashree Kalpathy‐Cramer, Bradley J. Erickson
Software Mentions: 2
Published: about 12 years ago
10.7717/peerj.2057
DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research
Cited by: 63
Author(s): Andriy Fedorov, David A. Clunie, Ethan Ulrich, Christian Bauer, Andreas Wahle, Bruce P. Brown, Michael D. Onken, Jörg Riesmeier, Steve Pieper, Ron Kikinis, John M. Buatti, Reinhard Beichel
Software Mentions: 1
Published: about 10 years ago