Viewers VS cornerstone

Compare Viewers vs cornerstone and see what are their differences.

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
Source Code
docs.ohif.org
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cornerstone

JavaScript library to display interactive medical images including but not limited to DICOM (by cornerstonejs)
JavaScript cornerstone Dicom medical-imaging nci-itcr
Source Code
docs.cornerstonejs.org
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Viewers cornerstone
2 1
2,909 2,007
1.6% 0.5%
9.7 1.9
6 days ago about 2 months ago
TypeScript JavaScript
MIT License 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.

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:

cornerstone

Posts with mentions or reviews of cornerstone. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

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.

Vue.js - This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

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

dicomviewer - DICOM Viewer in Nextcloud

dataset-uta4-dicom - [AVI 2020] UTA4: Medical Imaging DICOM files dataset.

gonii - Standalone NIfTI file parser

prototype-cornerstone - CornerstoneJS Modified Prototype

image-size - Node module for detecting image dimensions

brainchop - Brainchop: In-browser 3D MRI rendering and segmentation

Viewers vs vindr-lab cornerstone vs cornerstone3D Viewers vs cornerstone3D cornerstone vs Vue.js Viewers vs dwv cornerstone vs dicomviewer Viewers vs dicomviewer cornerstone vs dataset-uta4-dicom Viewers vs gonii cornerstone vs prototype-cornerstone Viewers vs image-size cornerstone vs brainchop