Dicom Image Reader is opensource medical image viewer built with JavaScript, HTML5, NodeJS and Electron framework. It can load data in DICOM format (single image dcm) and provides standard tools for its manipulation such as contrast, zoom, drag, possibility to draw regions on top of the image and imaging filters such as threshold and sharpening. It is based DWV JavaScript opensource library.
===============
Requirements:
- Processor: Intel Pentium 4 processor or later that's SSE2 capable
- RAM: 512 MB
- Hard Disk: 1500 MB
- Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum
- Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7
===============
Alternative software for Windows:
Available on Ecwid - https://goo.gl/twBcAq
===============
Android App: https://goo.gl/i4NX9K
--------------
Chrome app Release Pro: https://goo.gl/p456N5

Features

  • Single file reader: only from your file system of your PC
  • Displacement and zoom of image
  • Possibility to use different filters for brightness, contrast, negative mode and other powerful features
  • Length measurements: You can draw lines, rectangles, circles and side dishes by fingers or with your mouse
  • Export dcm image as png and PDF formats
  • You can use classic print or Cloud Print saving your file on Google Drive as png format
  • Tags reader with advanced fillters
  • Save tags of image as html format
  • You can write notes about dcm file and save it in various formats
  • Undo and redo buttons
  • Supporting touch screen
  • Additional Requirements: Windows 7 and later are supported, older operating systems are not supported (and do not work). Both x86 and amd64 (x64) binaries are provided for Windows. Please note, the ARM version of Windows is not supported for now

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow DICOM Image Reader

DICOM Image Reader Web Site

Other Useful Business Software
Get Avast Free Antivirus with 24/7 AI-powered online scam detection Icon
Get Avast Free Antivirus with 24/7 AI-powered online scam detection

Get protection for today’s online threats. Free.

Award-winning antivirus protection, as well as protection against online scams, dangerous Wi-Fi connections, hacked accounts, and ransomware. It includes Avast Assistant, your built-in AI partner, which gives you help with suspicious online messages, offers, and more.
Free Download
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of DICOM Image Reader!

Additional Project Details

Operating Systems

Mac, Windows

Languages

English

Intended Audience

Healthcare Industry, Science/Research, Advanced End Users, Developers

User Interface

Web-based

Programming Language

JavaScript

Related Categories

JavaScript Documentation Software, JavaScript Data Visualization Software, JavaScript Medical Software

Registered

2018-03-19