Getting medical imaging data into a training platform is often the first bottleneck. DICOM series need to be grouped correctly, NIfTI files need proper orientation metadata, and most annotation tools reject volumetric formats entirely. This tutorial shows how to create a medical 3D project on Datature Nexus and upload your data in under three minutes.
What This Tutorial Covers
- Creating a new medical 3D project on Datature Nexus
- Uploading DICOM series and NIfTI files directly
- How Nexus parses and groups DICOM slices into volumes automatically
- Verifying uploaded volumes in the 3D viewer
Why This Matters
Most computer vision platforms only support 2D image formats (JPEG, PNG). If you work with CT scans, MRI data, or other volumetric formats, you usually need a separate conversion pipeline before your data reaches the annotation tool. Datature Nexus accepts DICOM and NIfTI natively, preserving spatial metadata (voxel spacing, orientation, patient coordinate system) that matters for accurate 3D segmentation.
Who This Is For
Medical imaging teams starting a new AI project. Researchers moving data from PACS or hospital storage into a training pipeline. Anyone who has DICOM or NIfTI files and needs to get them labeled and training-ready.
