Full Auto-Tracking
Track lesions, organs, or regions through complete medical sequences—or only forward or backward—then review generated tracks and correct keyframes that need expert judgment.
Bidirectional trackingForward trackingBackward tracking
Medical Annotation Platform
Medical Annotation Platform for AI Teams
Annotate DICOM imaging, pathology slides, and other medical data in one collaborative platform.
Medical annotation features
Everything You Need for Complex Medical Annotation
Annotate DICOM volumes, pathology slides, and medical sequences, refine AI-assisted masks, and capture clinical context in one governed workspace.
Synchronized Multi-View
Work across axial, coronal, sagittal, and 3D views while positioning, windowing, and annotation context stay synchronized.
Multiplanar Editing
Edit annotations at exact slices and review the same structure across anatomical planes with synchronized crosshairs and geometry.
Clinical Ontologies & Properties
Define classes, clinical findings, attributes, nested properties, relations, and study- or object-level context in one reusable medical schema.
Medical Timelines & Sequences
Navigate frames and slices precisely while geometry, clinical states, and study-level context remain aligned.
Expert-reviewedAI-assisted
AI-Assisted Segmentation
Generate complex medical masks and regions faster, then refine boundaries and approve results under expert review.
Model proposalsHuman refinement
Why AI Teams Choose Unitlab for Medical Annotation
Accelerate expert labeling, automate repeatable work, and keep review and quality operations connected across medical datasets.
15X
Faster Medical Annotation
90%
Automated Annotation Work
10X
Lower Annotation Costs
Supported medical annotation types
All medical annotation types in one platform.
Create masks, regions, boxes, landmarks, classifications, measurements, properties, and relations across medical studies.
01
Segmentation / Masks
Create precise masks for anatomy, lesions, tissue, and other medical regions.
02
Polygon / Region
Outline irregular findings and regions of interest across slices or slides.
03
Bounding Box
Mark rectangular findings, cells, and regions for detection workflows.
04
Point / Landmark
Place exact landmarks for localization, alignment, and keypoint tasks.
05
Classification
Assign study, series, image, or object-level classes with controlled values.
06
Measurements
Record distances, diameters, and other annotation measurements with visual context.
07
Clinical Properties
Capture findings, severity, uncertainty, and nested clinical attributes.
08
Relations
Connect anatomy, findings, observations, and related objects explicitly.
09
Study / Item Properties
Describe modality, quality, cohort, procedure, and other whole-study attributes.
Medical dataset curation & annotation workflows& annotation workflows
Curate medical data and automate annotation workflows.
Search, version, and inspect studies and slides, connect medical AI models, and route annotations through expert review and approval.
Dataset Versions
Version medical datasets, annotations, curated cohorts, and dataset changes while preserving traceability from source to release.
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Semantic Search
Find relevant studies, scans, pathology slides, and similar cases across large medical datasets without relying on manual folders.
Embedding View
Explore dataset distributions, similar cases, outliers, clusters, and potential data-quality problems before training.
Integrated Workflows
Connect annotation, expert review, QA, rework, and approval in structured medical workflows with clear ownership and traceable outcomes.
Bring Your Model
Connect medical AI models for pre-labeling, segmentation, automation, and model-assisted annotation while keeping reviewers in control.
Questions, answered
Medical Annotation Platform FAQs
Answers about DICOM annotation, pathology slides, medical formats, synchronized views, AI-assisted segmentation, clinical ontologies, expert review, and dataset operations in Unitlab.
Talk with the Unitlab teamWhat medical data and formats can Unitlab annotate?+
Unitlab supports medical imaging workflows for DICOM studies, NIfTI and NRRD volumes, pathology slides, and common image formats. Teams can annotate masks, regions, boxes, landmarks, measurements, classifications, properties, and relations in reusable medical ontologies.
How does DICOM annotation work across axial, coronal, sagittal, and 3D views?+
DICOM studies open in synchronized axial, coronal, sagittal, and 3D views. Position, window and level, crosshairs, and annotation context stay aligned so experts can inspect and edit findings across planes.
Can Unitlab annotate pathology slides, medical sequences, and multiplanar studies?+
Yes. Unitlab supports deep-zoom pathology review, slice-level multiplanar editing, and frame- or slice-aware navigation for dynamic medical sequences while preserving annotation context.
How do clinical ontologies, properties, and relations work in medical annotation?
Medical ontologies define anatomy, findings, classifications, nested properties, measurements, and relations. Static and dynamic properties capture clinical context at object, image, series, or study level.
Properties and relations documentationHow does Unitlab manage medical annotation review and quality assurance?+
Configurable workflows route tasks through expert annotation, review, rework, QA, and approval. Assignments, comments, issue tracking, history, dataset versions, and releases keep decisions traceable.
Annotation and review documentationCan teams use medical AI models for pre-labeling and segmentation?
Yes. Connect medical AI models for pre-labeling, segmentation, and model-assisted annotation. Experts review and refine predictions before approval, preserving human control.
Model integration documentationCan Unitlab curate and version medical datasets in one platform?
Yes. Teams can search, curate, annotate, review, and publish controlled versions of medical datasets, including studies, scans, pathology slides, cohorts, annotations, and release changes.
Dataset management documentationMEDICAL ANNOTATION PLATFORM
Build Production-Ready Medical AI Datasets with Unitlab
Annotate, review, curate, and manage complex medical data in one collaborative AI-assisted platform.
