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DICOM & NIfTI

Deploy medical AI products faster with the leading medical annotation tool

Level-up your model development and create high-quality training data up to 10x faster with the most advanced image labeling tool.

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Lightning fast

Pixel-perfect labeling at the speed of AI

Experience an advanced, lightning-fast label editor with powerful automation capabilities to accelerate your labeling workflows.

Segment Anything, instantly

Create pixel-perfect segmentation masks by leveraging state of the art automated labeling capabilities powered by Meta AI’s Segment Anything Model 2.

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A suite of labeling tools to suit your needs

Encord supports a range of labeling options such as bounding box, rotatable box, polygons, polylines, keypoints, and classifications to support your model requirements.

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Accelerate with models-in-the-loop

Bring your own model to the Encord platform with no fuss, pre-label datasets, and seamlessly review and correct annotations to create high-quality training data faster.

Testimonial

What our clients say

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Dr. James Ryan Mason

Neuroradiologist @ RapidAI

“Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them."

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Flexible & Customizable

A fully-customizable, medical-grade experience

Experience an advanced, lightning fast label editor with powerful automation capabilities to accelerate your labeling workflows.

A truly 3D experience

Streamline your medical imaging workflows with 3D annotations for enhanced accuracy and multi-plane views for comprehensive annotation.

See it your way with hanging protocols

Customize your workspace to suit you with pre-built and customizable layouts to suit your annotation requirements.

Study-level support & classifications

Encord automatically identifies series belonging to the same study using metadata and allows for classifications to be applied at the study-level.

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Metadata viewer.Search, filter, and slice your data for all defined & custom metadata and sequences associated with your file.

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Maximum intensity Projection.Simply drag and adjust the volume of your displayed images that suits your annotation needs.

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HTJ2K Support.At the forefront of DICOM development, we support the latest transfer syntaxes for DICOM files.

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Distance measurement.Measure real-world distances between any two points on an image to convert pixels into distance accurately.

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Bring your custom models.Label data faster with models-in-the-loop. Bring your own model to Encord seamlessly.

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Programmatically upload data.Use our API/SDK to programmatically upload your projects, datasets, and labels.

Testimonial

Trusted by leading AI teams

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Prajwal KotamrajuAutomotus

We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.

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Dr. James Ryan MasonRapidAI

Encord’s DICOM annotation tool captures the shape of the pathology, interpolating the label on the slices the annotators skipped. In a case with 100 slices, annotators only have to label about 30 images.

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Markus KittelConxai

With other labeling tools, we needed to integrate another tool for data management and exploration capabilities, but Encord combined the two needs and provided a single comprehensive solution, along with excellent customer care and support.

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Camilla GilrchristTractable

It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.

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Maayan GerbiViz.ai

We plan on leveraging Encord to expand the range of use cases and include more medical conditions in our solutions... We are excited about our potential with Encord and look forward to seeing how we will evolve together

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Prajwal KotamrajuAutomotus

We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.

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Dr. James Ryan MasonRapidAI

Encord’s DICOM annotation tool captures the shape of the pathology, interpolating the label on the slices the annotators skipped. In a case with 100 slices, annotators only have to label about 30 images.

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Markus KittelConxai

With other labeling tools, we needed to integrate another tool for data management and exploration capabilities, but Encord combined the two needs and provided a single comprehensive solution, along with excellent customer care and support.

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Camilla GilrchristTractable

It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.

avatar
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Maayan GerbiViz.ai

We plan on leveraging Encord to expand the range of use cases and include more medical conditions in our solutions... We are excited about our potential with Encord and look forward to seeing how we will evolve together

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Workflows that suits you

Customizable workflows, automated pipelines

Integrate humans-in-the-loop seamlessly to accelerate training data creation by leveraging workflow templates or fully customizing workflows and expert review to suit your project needs.

Everything you can do with workflows

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Build custom workflows with no-code

Add desired stages to your labeling workflow. Select from annotate, review, consensus, webhooks, and various routers to configure your workflows.

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Ensure label accuracy with Consensus

Compare annotations between labellers and establish accepted thresholds that determine approved or rejected labels.

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Custom pathways with advanced routers

Create specific pathways for any labeling instances. Leverage annotator-specific routing, label-specific routing, or weighted routing to suit your needs.

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Significant improvements in workflow efficiency and data accuracy 📄

Maayan Gerbi
Clinical AI Specialist
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Reduced labeling time for 60,000 CT and MRI scans 💫

Leander Mäerkisch
Founder
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70% reduction in annotation hours ⏰

Dr.James Ryan Mason
Neuroradiologist

Built for scale

Effectively supporting datasets of 1,000 or 10,000,000 images

Scale your labeling workflows in one user friendly tool.

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Build truly balanced datasets with ease
Filter and slice datasets in a consolidated visual explorer and export for labeling in one click. Encord supports deep search, filtering, and metadata analysis.
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Rich knowledge structures enhance model context
Build nested relationship structures in your data schema to improve the quality of your model output.
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Bulk classifications
Leverage natural language or similarity search to select large datasets and label en masse, queue for review to drastically accelerate labeling operations.

Seamless collaboration

A truly collaborative experience

Communication between ML and labeling teams has never been easier.

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Build reliable quality control workflows
Build robust workflows with multi-step review stages, now with consensus.
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Find & fix label errors
Automatically surface labeling errors to shift your attention to the labels that are impacting model performance.
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Collaborate with teams of all sizes
Seamlessly control user roles with permissioning, manage task assignment, and infinitely scale your MLOps workflows.

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Enterprise-grade security as standard

Your data is important to us. That’s why we deploy enterprise-grade security measures to ensure you retain total control of your data.

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Programmatically control your workflows
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SOC2, GDPR, & HIPAA compliant
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Secure native cloud integrations, always up-to-date
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Designed for your specific use case

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CT

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X-ray

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MRI

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Ultrasound

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Mammography

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Lightning fast

Host your data and datasets

Effortlessly manage your unstructured data and say goodbye to traditional and vector database infrastructure. Cut down over 50% of the time your data scientists spend on data preparation with our premier data management and curation tool.

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Integrate seamlessly with storage buckets

Connect to AWS, GCP, Azure, or OTC cloud storage in a few clicks and access all nested files in an instant.

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Instant data refresh

No storage reconnection needed. Data changes in storage are instantly reflected in Encord Index with data refresh.