Encord launches DICOM image annotation tool
Summary
Encord is backed by CRV, Y Combinator, WndrCo and Crane Venture Partners and trusted by the likes of world-leading healthcare institutions including Kings College London where it helped to annotate pre-cancerous polyp videos resulting in increased efficiency by an average of 6.4x, and automated 97% of labels ultimately making the most expensive clinician become 16x more efficient at labelling medical images. It has also worked with Memorial Sloan Kettering Cancer Center and Stanford Medical Centre where it has reduced experiment duration by 80% and processed 3x more images. Harnessing the power of automation through deep learning, the DICOM annotation tool replaces manual processes that make AI development expensive, time-consuming and difficult to scale. Human error arising from this process leads to clinicians wasting time reviewing and correcting labels.” Said Ulrik Stig Hansen, Co-Founder and CEO at Encord. We’re excited to see the positive impact this will have for our healthcare customers ” The DICOM annotation tool will slot into Encord’s existing platform, taking full advantage of the rest of its data pipeline features.
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