Viewers VS image-size

Compare Viewers vs image-size 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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image-size

Node module for detecting image dimensions (by image-size)
Dimensions image-analysis image-size
Source Code
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SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
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Viewers image-size
2 1
2,909 1,961
1.6% 0.6%
9.7 5.3
6 days ago 25 days ago
TypeScript TypeScript
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:

image-size

Posts with mentions or reviews of image-size. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-31.

What are some alternatives?

When comparing Viewers and image-size you can also consider the following projects:

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

exifr - 📷 The fastest and most versatile JS EXIF reading library.

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

mp-units - The quantities and units library for C++

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.

react-native-responsive-dimensions - Resposive fontSize, height and width for react-native components, that automatically adjusts itself based on screen-size of the device.

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

pigallery - PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

dicomviewer - DICOM Viewer in Nextcloud

dimensioned - Compile-time dimensional analysis for various unit systems using Rust's type system.

gonii - Standalone NIfTI file parser

ssim - 🖼🔬 JavaScript Image Comparison

Viewers vs cornerstone image-size vs exifr Viewers vs vindr-lab image-size vs mp-units Viewers vs cornerstone3D image-size vs react-native-responsive-dimensions Viewers vs dwv image-size vs pigallery Viewers vs dicomviewer image-size vs dimensioned Viewers vs gonii image-size vs ssim