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Creating Advanced Ontologies for Memorial Sloan Kettering Cancer Center

December 16, 2022
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3 mins
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Problem

Memorial Sloan Kettering Cancer Center faced challenges in detecting and classifying vena cava filters due to the complexity of label protocols (ontologies), rendering existing and open-source tools unusable. These protocols required a tailored approach for accurate annotation and classification.

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Key Result

With Encord's flexibility, Memorial Sloan Kettering Cancer Center successfully configured over 1000 custom protocol settings in a streamlined process. The total setup time for the project was reduced to just 10 minutes, ensuring rapid deployment and implementation. The platform's auditability feature ensured the accuracy and traceability of annotations, providing confidence in the project's outcomes.

Memorial Sloan Kettering Cancer Center 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 was made feasible by the flexibility offered by Encord's ontology study.

  • 1000+ protocol configurations
  • 10 minutes total setup time
  • 100% auditable
Frequently asked questions
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  • The best way to spend less on labeling is using purpose-built annotation software, automation features, and active learning techniques. Encord's platform provides several automation techniques, including model-assisted labeling & auto-segmentation. High-complexity use cases have seen 60-80% reduction in labeling costs.

  • Encord offers three different support plans: standard, premium, and enterprise support. Note that custom service agreements and uptime SLAs require an enterprise support plan. Learn more about our support plans here.

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