collection and standardization efforts because to develop this model, we did a lot of research on the model and machine learning, but it wouldn’t have worked if we didn’t devote a considerable amount of time and effort to collecting the data and deriving different protocols for making it as diverse as possible.” Summing up and reflecting on what is particularly special about the work, Adrian highlights its potential to break down barriers, opening up new avenues for clinical researchers and enabling studies previously hindered by technical challenges. “It opens up a lot of new technical areas in my lab and our sphere, and that’s exciting,” he says. “But probably the fact that it can advance science is the most exciting!” To learn more about the team’s work, visit their poster this afternoon at 14:30-16:30. 11 DAILY ICCV Friday UniverSeg
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