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Medical image annotation at unprecedented speed and quality
Label scientific and biomedical data like the best, with Centaur Labs - the biomedical data labeling experts.
We work with organizations at the forefront of AI.
Medical image annotation experts
We support a range of medical imaging modalities and task types.
Medical image types
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Supported annotation tasks
How Centaur Labs labels medical images
Unlock scalable annotation by leveraging the forces of collective intelligence, competition, gamification, performance incentives and quality management
Quality-incentivized network of skilled data labelers
58,000 global labeling network
Composed of medical trainees and healthcare professionals
Compensated only when they produce high quality labels
Mobile medical data labeling competitions
Label on mobile devices
Biomedical data labeling competitions posed of medical trainees and healthcare professionals
Labelers highly motivated by competition and practice, in addition to cash prizes for quality labels
Label quality measurement and analytics
Labelers measured on reference dataset
Only labels that meet customer quality threshold are intelligently aggregated into a final superlabel
Access to an analytics dashboard to see confidence levels per label
Results you can trust
Faster and higher quality
“Centaur Labs annotated the first batch of data so quickly it seemed unreal. The speed of annotations we can now get is 10 fold - we can get 1,000 high quality annotations in one day.”
“We were able to use the disagreement between labelers to convert the categorical affect labels into a continuous metric we’re calling the affect rating. That’s ultimately the training data we used and it was only possible because of the 20+ opinions we could gather from Centaur Labs on each piece of our data.”
Why healthcare AI teams trust Centaur Labs
Access millions of annotations weekly from a network of thousands of medical experts, taking models from exploratory analysis to deployment in weeks, not months.
Experience how label quality is built into the Centaur Labs system, with frequent performance measurement and pay-for-performance incentives.
Leverage more reliable statistical information to inform your algorithm training plan.
Worry less with leading privacy and security capabilities.
Lean on our expertise as the only annotation company focused on health, biological and scientific data.
From pathology slides to surgical video to unstructured clinical notes, get all of your annotation needs in one single platform.
Medical image annotation case studies
Learn how leading AI teams across healthcare build datasets and models. Explore successstories and real-life use cases.
Research on medical image annotation
Borne out of research at the MIT Center for Collective Intelligence, Centaur Labs partners with researchers to advance the field of AI in the medical and life sciences.
RESEARCH
Expert-Level Annotation Quality Achieved by Gamified Crowdsourcing for B-line Segmentation in Lung Ultrasound
In collaboration with researchers at Brigham and Women’s Hospital
RESEARCH
Nonexpert Crowds Outperform Expert Individuals in Diagnostic Accuracy on a Skin Lesion Diagnosis Task
In collaboration with researchers at Memorial Sloan Kettering Cancer Center
RESEARCH
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery
In collaboration with researchers at Activ Surgical and The Ohio State Wexner Medical Center
