qvrc VS Viewers

Compare qvrc vs Viewers and see what are their differences.

qvrc

another GLSL volume raycaster (by fargiolas)
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Viewers

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages (by OHIF)
nci-itcr nci-qin quantitative-imaging imaging-informatics cancer-imaging-research Dicom image-analysis medical-image-processing medical-imaging ReactJS JavaScript HacktoberFest dicom-viewer Medical
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docs.ohif.org
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qvrc Viewers
1 2
2 2,941
- 2.2%
- 9.7
almost 7 years ago 1 day ago
C++ TypeScript
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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qvrc

Posts with mentions or reviews of qvrc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-21.

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 qvrc and Viewers you can also consider the following projects:

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

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

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.

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

dicomviewer - DICOM Viewer in Nextcloud

gonii - Standalone NIfTI file parser

image-size - Node module for detecting image dimensions

Phantom - Effective DICOM anonymization in Python

u-dicom-viewer - A simple web browser DICOM viewer for any device.

battlemath - A basic math game for children

Viewers vs cornerstone Viewers vs vindr-lab Viewers vs cornerstone3D Viewers vs dwv Viewers vs dicomviewer Viewers vs gonii Viewers vs image-size Viewers vs Phantom Viewers vs u-dicom-viewer Viewers vs battlemath