Accelerate The Development of Your Computer Vision Models for Radiology

Get your radiology AI models into production faster with collaborative medical-grade DICOM and NIfTI annotation tooling from Encord. Build custom label protocols and generate automated worklists with the click of a button.

Trusted by trailblazing computer vision teams at leading healthcare institutions

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How it works

Encord Helps You Get Your Radiology Machine Learning Models Into Production 10x Faster

Encord is the only medical imagery annotation tool and computer vision data platform designed for all radiology modalities, including X-ray, mammography, CT, PET and MRI.


From the annotation interface to labeling protocols and worklist support, Encord can transform how you train and build your computer vision models for radiology.

Medical Grade Annotation Tooling

Give your medical imaging annotators a tool that is designed for them. Encord offers native DICOM and NIfTI image rendering with a PACS-style interface, including fully customisable hotkeys, configurable window level presets, multiplanar reconstruction (MPR) and maximum intensity projection (MIP).

Label protocols for radiology

The Industry’s Most Powerful Labeling Protocols

Encord supports complex labeling protocols within its medical-grade annotation tool.


You can create rich labeling protocols covering as many feature types as you need to deliver the right training data to your machine learning team.

Segmentation of brain in CT scan

A Single Scalable Platform

Give your annotators a single platform for all their annotation types, including bounding box, polygon, polyline, keypoint, segmentation and classification.


And with a single platform, your developers are saved from maintaining multiple custom or open-source annotation tools.

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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

Streamline Your Clinical Data Operations

Make your annotator management processes more efficient with role-based access control, worklist support and configurable expert review pipelines.


It means you can ensure 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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