Encord
22 Case Studies
A Encord Case Study
Stanford Medicine was using three different pieces of software to identify, annotate, and count podocytes and glomeruli in microscopy images, which made experiments slow and fragmented. To solve this, they turned to Encord and adopted Encord’s annotation tools and SDK to streamline their image annotation workflow.
Encord implemented its annotation platform and SDK to automate segmentations, counting, and size calculations, consolidating tasks onto one platform. With Encord, Stanford Medicine reduced experiment duration from an average of 21 days to 4 days (an 80% reduction) while processing three times as many images.