Lesion segmentation closeup
CurateLabel
Deploy medical AI products faster with a clinical annotation workspace built for speed and quality.
Clinical annotation you can trust. From raw records to reliable labels.
10xfaster review cycles
96%+agreement targets
100%auditable actions
Patient: De-identified Study: Retina OCT + Fundus Mode: Annotating View: Multi-plane
+ Undo Redo Pan Zoom Measure Brush
Overlay Linked Coronal
Optic Disc Boundary Hemorrhage ROI 1,248labeled studies
97.1%Consensus score
12mMedian handling time
Core capabilities
Annotation workspace
Bounding boxes, polygons, keypoints, and clinical text extraction.
Workflow orchestration
Annotate → Review → Adjudicate with SLA-aware routing.
Quality controls
Double-review, conflict detection, and agreement scoring.
Governance
RBAC, immutable audit trails, and versioned dataset exports.
Clinical closeups
Zoomed UI slices from the annotation workflow.
Layer boundary tracing
Reviewer comparison pane
Annotator A
Annotator B
Adjudication
Operational views
Queue orchestration
New intake 42 In annotation 118 In review 63 Needs adjudication 9
Quality trend
Export snapshots
How it works
A structured pipeline from raw data to production-ready labels.
1. Ingest
From CurateMD, direct API, or bulk DICOM/CSV upload.
2. Define
Build schemas, ontologies, reviewer roles, and routing rules.
3. Annotate
Multi-user parallel annotation with real-time progress tracking.
4. Validate
Consensus scoring, conflict detection, and adjudication gates.
5. Export
Versioned, immutable snapshots in JSON, CSV, or COCO format.
Built for trustworthy healthcare data
Clinical-grade annotation, end to end.
Encryption at rest and in transit, least-privilege access controls, full activity logs, and controlled retention policies keep your data safe at every step.
96%+ Inter-annotator agreement target
100% Auditable, immutable action log
HIPAA Ready controls, end to end
<24h Support response target