The Collaborative Training Data Platform for Healthcare AI
Empowering leading healthcare institutions around the world, Encord enables efficient annotation of large training datasets from modalities like CT, X-ray, Ultrasound, MRI, Gastroenterology videos and more in DICOM and NIfTI formats.
Trusted by pioneering AI teams
Gastroenterology
Radiology
Microscopy
Ultrasound
Dermatology
Surgical Devices
Seamless Collaboration With Custom Workflows
From expert QA to annotator management, create fully customized, automated ML pipelines to improve the efficiency and quality of your annotation workforce.
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Native Medical Imaging Capabilities
Support for all common medical image modalities including ultrasound, gastroenterology videos, mammography and a leading solution for volumetric DICOM images with worklist support and 3D visualisation.
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70%
Reduction in Annotation Time
“Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also had this great interpolation tool which was especially useful for the projects we were working on.”
6x
Faster Video Annotation Time
“Before, using clinicians to annotate precancerous polyp videos had prohibitively high costs because of the large number of datasets needed to train the model.”
80%
Reduction in Experiment Duration
Stanford researchers decreased experiment duration from an average of 21 to 4 days, while processing 3x the images and consolidating the number of platforms used from 3 to one.
