Case Study: Genentech streamlines medical image ML labeling with Labelbox

Genentech develops breakthrough labeling process for medical imagery ML

Genentech, a biotechnology company, required a solution to build neural networks for disease diagnosis and to support medical professionals. This process necessitated a massive amount of accurately labeled image data for AI training, which had to be created by trained medical experts to avoid the risk of inaccurate predictions leading to misdiagnosis. They turned to Labelbox to address this critical challenge.

By implementing Labelbox, Genentech established a groundbreaking labeling process where a team of labelers created annotation data that was subsequently reviewed and approved by medical experts to generate the final training data. This solution from Labelbox enabled the company to produce the vast volume of high-quality training data needed for production deployment in a faster and more cost-effective manner.

Genentech