Ginkgo CADx vs Starviewer

Struggling to choose between Ginkgo CADx and Starviewer? Both products offer unique advantages, making it a tough decision.

Ginkgo CADx is a Medical Imaging solution with tags like radiology, medical-imaging, dicom, viewer, diagnostic.

It boasts features such as Multiplanar reconstruction, 3D volume rendering, DICOM networking, Structured reporting, Lesion tracking, PET/CT fusion and pros including Open source, Cross-platform, Customizable interface, Wide range of tools, Active development.

On the other hand, Starviewer is a Medical product tagged with medical-imaging, dicom, viewer, 2d, 3d, 4d-visualization.

Its standout features include 2D, 3D and 4D DICOM image visualization, Multiplanar reconstruction, Volume rendering, Image fusion, Hanging protocols, DICOM networking, Plugin architecture, and it shines with pros like Open source, Lightweight and fast, Customizable via plugins, Supports many DICOM formats, Good performance even on basic hardware.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Ginkgo CADx

Ginkgo CADx

Ginkgo CADx is an advanced DICOM viewer and diagnostic tool for medical images. It allows radiologists and clinicians to view, analyze, and process DICOM images with a wide range of processing, measurement, and annotation tools.

Categories:
radiology medical-imaging dicom viewer diagnostic

Ginkgo CADx Features

  1. Multiplanar reconstruction
  2. 3D volume rendering
  3. DICOM networking
  4. Structured reporting
  5. Lesion tracking
  6. PET/CT fusion

Pricing

  • Open Source

Pros

Open source

Cross-platform

Customizable interface

Wide range of tools

Active development

Cons

Steep learning curve

Limited documentation

No built-in PACS

Lacks some advanced features of commercial viewers


Starviewer

Starviewer

Starviewer is an open source DICOM viewer for medical imaging that supports 2D, 3D and 4D visualization. It is lightweight, fast and customizable with plugins.

Categories:
medical-imaging dicom viewer 2d 3d 4d-visualization

Starviewer Features

  1. 2D, 3D and 4D DICOM image visualization
  2. Multiplanar reconstruction
  3. Volume rendering
  4. Image fusion
  5. Hanging protocols
  6. DICOM networking
  7. Plugin architecture

Pricing

  • Open Source

Pros

Open source

Lightweight and fast

Customizable via plugins

Supports many DICOM formats

Good performance even on basic hardware

Cons

Limited built-in image processing tools

Steep learning curve

Limited documentation and support