Case Study: Intelligent Ultrasound doubles annotation throughput with V7 Darwin

How Intelligent Ultrasound used V7 to Double the Speed of their Training Data Pipelines

Intelligent Ultrasound, a healthcare company developing AI-powered ultrasound simulation technologies, needed a faster and more reliable way to annotate highly complex ultrasound images for model training. Their existing workflow involved time-consuming file transfers, manual mask adjustments, and error-prone review, especially for sequential and non-sequential images.

By using V7 Darwin, Intelligent Ultrasound streamlined annotation with custom workflows and intuitive brush and pen tools that made it easier to reuse masks across images. The team cut image annotation time by 30% and, when the full process including transfer and QA was considered, more than doubled the number of images they could process in the same time span, reaching around 30,000 labels per week.

Intelligent Ultrasound

Ryan Watson

Segmentation Manager