The Collaborative DICOM & NIfTI
Annotation Platform
for Computer Vision

Graduate from ITK Snap & 3D Slicer with Encord's collaborative annotation platform and get to production AI faster. Quickly label large training datasets from modalities including CT, X-ray, PET, ultrasound and MRI.

Trusted by the clinical operations teams at leading healthcare institutions

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How it works

The First Purpose-built DICOM Image Annotation Tool for Healthcare AI and Machine Learning

Encord's medical imaging labeling tool supports a range of file formats, including DICOM and NIfTI. It has been developed in close collaboration with clinicians and healthcare data science experts to deliver maximal functionality and an unparalleled user experience. Learn more about healthcare applications.

The Standard in Annotation and Segmentation Tooling for 3D Medical Imaging

Equip your data annotators with the leading collaborative DICOM and NIfTI labeling solution. Encord offers native DICOM and NIfTI image rendering with a PACS-style interface. Our tool includes configurable window level presets, multiplanar reconstruction (MPR) and maximum intensity projection (MIP).


  • ✅ Hanging protocols
  • ✅ 3D annotation capabilities
  • ✅ Windows defineable by Hounsfield units
  • ✅ Axial, coronal, and sagittal views
  • ✅ Expert review
  • ✅ Monitor annotator performance
  • ✅ Fully auditable labels

Label protocols for radiology

Configurable Labeling Protocols

Build complex labeling protocols with Encord's medical-grade annotation tool.


You can create rich labeling protocols covering as many features as you need to deliver highly accurate training data to your machine learning team.

Segmentation of brain in CT scan

A Single Collaborative Software Solution

Give your medical imaging labelers a single platform for all their annotation types, including:


  • ✅ Bounding box
  • ✅ Polygon
  • ✅ Segmentation
  • ✅ Polyline
  • ✅ Keypoint
  • ✅ Object primitives
  • ✅ Classification


And with a single platform, your developers are saved from maintaining multiple custom or open-source annotation tools like 3D Slicer or ITK Snap.

Use cases

Accelerating AI in healthcare

Encord's software empowers some of the world's leading companies building computer vision models for medical imaging. Learn more about our clinical operations capabilities.

Computed tomography

Analyse and annotate voxels in CT with super-human precision.

  • Stroke detection
  • Pulmonary embolism diagnosis
  • Colonography

Magnetic resonance imaging

Use pre-set or custom windows in MRI using the Hounsfield scale.

  • Brain aneurysm segmentation
  • Tumor classification
  • Cyst localisation

X-ray

Classify X-rays at unparalleled efficiency.

  • Lesion tracking
  • Oncology monitoring
  • Pneumonia diagnosis
MSK logo
Memorial Sloan Kettering Cancer Center

MSK adopted Encord to build custom label protocols for pulmonary thrombosis projects.

Problem
Detecting and classifying vena cava filters in complex label protocols (ontologies) rendered existing & open-source tools unusable.
Solution
Deployed Encord's label protocol studio to build custom protocols, DICOM annotation tool, worklists & automation modules to increase efficiency.
Results
Project made feasible by the flexibility offered by Encord's ontology study.
1000+
Protocol configurations
10 minutes
Total setup time
100%
Auditable
Expert review quality control for radiology

Automate & Streamline Your Clinical Data Operations

Use our bounding box, polygon, and segmentation interpolation feature to make the most of human supervision. Use native model-assisted labeling to accelerate your active learning pipelines.


Make your annotator management processes more efficient with role-based access control, worklist support and configurable expert review pipelines to ensure that your most skilled radiologist annotators’ time isn’t being wasted on the wrong tasks.

Encord improves the quality of your radiology training data

Deliver Better Training Data

Encord helps clinical operations teams identify the errors, biases and imbalances in the datasets they’ve created (even down to individual annotator performance).


This allows clinical operations leaders to provide better datasets to their machine learning teams and help reduce model time to production.

Encord supports FDA clearance and CE marking processes

Supporting Your Regulatory Journey

Encord has been designed to make it easier for you to meet your regulatory requirements, including FDA submissions and CE approval.


As well as being HIPAA and SOC2compliant, Encord’s data pipelines, fully auditable labels and quality control and assurance features make regulatory compliance much less of a headache.

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