
Horos
MicroDicom
Weasis
3DimViewer
RadiAnt DICOM Viewer
Miele-LXIV
3D Slicer
AMIDE: a Medical Image Data Analysis Tool
LayerStack’s Arm-based cloud virtual machines, powered by cloud-optimized CPU based on Arm architecture that deliver excellent cost-effective processing power, allowing you to easily complete the most demanding application development.

Which is more popular?
Based on our record, AMIDE seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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Recommendations tracked on public social media and blogs since March 2021.

There is also a problem that many DICOM viewers are outdated and abandoned, e.g. Written in GTK+ 2.x which is not availabe on modern systems, and weren't updated for many years. Take, for example, AMIDE[1] - no changes in the development... - Source: Hacker News / over 4 years ago
Tracking LayerStack Arm-based Cloud Server since Jun 2024.
When comparing AMIDE and LayerStack Arm-based Cloud Server, you can also consider the following products.

A free, open source 64-bit DICOM medical image viewer
Compare Horos to AMIDE or LayerStack Arm-based Cloud Server:

DICOM viewer. MicroDicom is a free DICOM viewer. Export to the most common picture formats, movie, clipboard. It is equipped with most common tools for manipulation of DICOM images.
Compare MicroDicom to AMIDE or LayerStack Arm-based Cloud Server:
Weasis is a multipurpose standalone and web-based DICOM viewer.
Compare Weasis to AMIDE or LayerStack Arm-based Cloud Server:

3DimViewer is a 3D viewer software for medical DICOM datasets that is written in C++, effectively runs on MAC OS, and Linux systems.
Compare 3DimViewer to AMIDE or LayerStack Arm-based Cloud Server:

PACS-DICOM Viewer. RadiAnt is a PACS-DICOM viewer for medical images designed to provide you with a unique experience.
Compare RadiAnt DICOM Viewer to AMIDE or LayerStack Arm-based Cloud Server:
DICOM Viewer 64-bit fully open source
Compare Miele-LXIV to AMIDE or LayerStack Arm-based Cloud Server: