Case Studies
Reducing Experiment Duration for Stanford Medicine
Problem
Previously, Stanford's Division of Nephrology faced inefficiencies in their image analysis process, using three different software tools to identify, annotate, and count podocytes and glomeruli in microscopy images. This fragmented approach led to increased experiment duration and limited output.
Key Result
Stanford's Division of Nephrology reduced experiment duration from 21 to 4 days with Encord, while processing three times the number of images. This 80% reduction in experiment duration was achieved by consolidating processes into one platform.
The Division of Nephrology reduced the experiment duration by 80% while processing 3x more images.
Problem
Stanford was using three different pieces of software to identify, annotate, and count podocytes and glomeruli in microscopy images.
Solution
Stanford started using Encord's annotation tools & SDK to automate segmentations, count, and calculate sizes of segments.
Results
With Encord, Stanford researchers reduced experiment duration from an average of 21 to 4 days while processing 3x the number of images.
- 80% reduction in experiment duration
- 3X number of images labeled
- Using 1 platform and not 3
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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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