Quality Assured: Rethinking Annotation Strategies in Imaging AI
Quality Assured: Rethinking Annotation Strategies in Imaging AI
This paper does not describe a novel method. Instead, it studies an essential foundation for reliable benchmarking and ultimately real-world application of AI-based image analysis: generating high-quality reference annotations. Previous research has focused on crowdsourcing as a means of outsourcing annotations. However, little attention has so far been given to …