dicomviewer VS Viewers

Compare dicomviewer vs Viewers and see what are their differences.

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dicomviewer Viewers
1 2
215 2,909
- 1.6%
8.1 9.7
22 days ago 6 days ago
JavaScript TypeScript
GNU Affero General Public License v3.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dicomviewer

Posts with mentions or reviews of dicomviewer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-23.
  • PACS for small, non-radiology practice
    2 projects | /r/healthIT | 23 Apr 2021
    Another open source option, but stable because it’s so actively developed: nextcloud. Its dicom viewer seems good, but I’m no expert in this. I have downloaded it and viewed imaging with it. One click install. Here it is on GitHub: https://github.com/ayselafsar/dicomviewer. News pieces: https://openhealthnews.com/tagged/dicom-viewer-app-nextcloud https://www.techrepublic.com/google-amp/article/how-to-add-dicom-image-viewing-to-nextcloud-hub/ Let me know if you have any questions.

Viewers

Posts with mentions or reviews of Viewers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-21.
  • Show HN: Volume rendering 3D data in Three.js and GLSL
    5 projects | news.ycombinator.com | 21 Apr 2024
    My app does not support DICOM files as input. Just Uint8 256x256x256 raw files that are scaled 1x1x1. Maybe if I had the chance to work on it full-time I'd have the time to add those features, but it's just a side project for now.

    Have you looked into Slicer3D[0] which is a multi-platform desktop app or Open Health Image Foundations dicom viewer[1] which is web-based? Perhaps one of these will help.

    [0] https://www.slicer.org/

    [1] https://github.com/OHIF/Viewers

  • [P] VinDr Lab - an open-source annotation platform for Medical AI
    2 projects | /r/MachineLearning | 2 Apr 2021
    On a side note, I noticed that a significant portion of this viewer is based on work done by folks at OHIF. Because of the incredible amount of work that went into creating those tools, it is worth citing them in the VinDR arxiv paper:

What are some alternatives?

When comparing dicomviewer and Viewers you can also consider the following projects:

cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM

cornerstone3D - Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.

vindr-lab - A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.

dwv - DICOM Web Viewer: open source zero footprint medical image library.