3D Slicer is the standard open-source platform for viewing, annotating, and processing medical imaging data. This tutorial shows how to connect it directly to Datature Nexus so your team can move DICOM and NIfTI volumes between both tools without manual file exports or format conversion.
What This Tutorial Covers
- Installing the Datature plugin inside 3D Slicer
- Authenticating with your Nexus workspace
- Pushing volumetric data (CT, MRI) from Slicer to Nexus
- Annotating 3D volumes in Nexus for model training
- Pulling trained model results back into 3D Slicer for review
Why This Integration Matters
Medical imaging teams often work in 3D Slicer for visualization and manual analysis, then switch to a separate tool for annotation and model training. That context switch slows projects down and introduces data handling errors. The Datature integration keeps 3D Slicer as your viewing and manipulation tool while Nexus handles annotation, model training, and deployment behind the scenes. The whole setup takes under four minutes.
Who This Is For
Medical imaging researchers working with volumetric scans. Radiologists building AI-assisted diagnostic tools. ML engineers running 3D segmentation tasks (organ segmentation, tumor detection, anomaly detection) who already have 3D Slicer in their workflow and need a training platform that connects to it natively.
