Case Study: Genentech achieves faster, cheaper expert-graded medical imaging data with Labelbox

A Labelbox Case Study

Preview of the Genentech Case Study

Genentech makes medical imaging labeling 10x cheaper with Labelbox

Genentech needed to produce large volumes of expertly graded medical imagery to train its diagnostic AI models, but the process was costly and slow because it relied heavily on scarce medical experts. The biotechnology company turned to Labelbox's platform to address this challenge and create a secure, high-quality training data workflow.

By using Labelbox, Genentech implemented a process where medical domain experts trained contributors, who then performed the initial labeling. Experts reviewed the work, embedding clinical judgment at scale. This solution allowed Genentech to produce expert-grade training data 10 times cheaper and 5 times faster, while also improving quality, accelerating the deployment of its life-saving algorithms.


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