Annotating 3D medical data is different from labeling 2D images. You are working across hundreds of slices, switching between axial, coronal, and sagittal views, and marking structures that span the full volume. This tutorial shows how Datature Nexus handles 3D medical annotation with tools built for volumetric data.
What This Tutorial Covers
- Opening a 3D volume in Datature's multi-planar reconstruction (MPR) viewer
- Navigating axial, coronal, and sagittal planes
- Drawing segmentation masks across slices
- Using interpolation to speed up annotation between key slices
- Managing labels and reviewing annotations in 3D
Why 3D Annotation Needs Specialized Tools
Standard image annotation tools treat each slice as an independent image. That makes it painful to maintain consistency across a volume. Datature's annotator links slices together so your labels stay coherent in 3D space. The MPR viewer lets you cross-reference structures across all three planes before committing a label.
Who This Is For
Radiologists and medical imaging researchers who need to label DICOM or NIfTI volumes for model training. ML engineers preparing ground truth data for organ segmentation, tumor detection, or anatomical landmark models.
