GPU-powered medical image segmentation
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About this platform
This platform provides streamed access to GPU-powered medical image segmentation tools. It removes deployment and hardware barriers, giving clinicians and researchers immediate access to 3D Slicer with nnInteractive AI segmentation.
This platform is NOT a medical device.
Your data stays on your virtual machine only. We do not store, access, or process your uploaded files on any central server. When your session ends, the VM memory is wiped completely.
The AI segmentation model (nnInteractive) is licensed under CC BY-NC-SA 4.0 by DKFZ (German Cancer Research Center). This non-commercial license prevents charging users.
The platform creator assumes the GPU compute costs to support research accessibility and advance medical imaging tools.
For users who want more control or need to run locally:
mikgangal/3dslicer-nninteractiveDeploy on RunPod, local hardware, or any Docker-compatible system.
Watch a quick walkthrough of how to use the platform:
Click "File Browser" in the dashboard to open a file manager. Download any files you need before closing your session.
Your session continues for 5 minutes. If you log back in within this time, you can resume where you left off. After 5 minutes, the session is terminated.
Various NVIDIA GPUs with 16GB+ VRAM. The system recommends the best option based on your location and preference (performance or cost).
Data exists only on your temporary VM. We never store or access your files. Everything is wiped when your session ends.