Viewers VS gonii

Compare Viewers vs gonii 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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gonii

Standalone NIfTI file parser (by okieraised)
medical-imaging nifti-1 nifti-2 nifti-format nifti-gz nifti-images nifti nii
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Viewers gonii
2 1
2,909 8
1.6% -
9.7 5.1
6 days ago about 1 year ago
TypeScript Go
MIT License BSD 3-clause "New" or "Revised" 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:

gonii

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

What are some alternatives?

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

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

nii2dcm - nii2dcm: NIfTI to DICOM creation with Python

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

MRIcroGL - v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.

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.

libvips - A fast image processing library with low memory needs.

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

dcm2niix - dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

dicomviewer - DICOM Viewer in Nextcloud

go2com - A DICOM file parser

image-size - Node module for detecting image dimensions

Phantom - Effective DICOM anonymization in Python

Viewers vs cornerstone gonii vs nii2dcm Viewers vs vindr-lab gonii vs MRIcroGL Viewers vs cornerstone3D gonii vs libvips Viewers vs dwv gonii vs dcm2niix Viewers vs dicomviewer gonii vs go2com Viewers vs image-size Viewers vs Phantom