In this presentation, I will present Metrics Reloaded - a comprehensive framework guiding researchers in the problem-aware selection of metrics in biomedical image analysis. I will first demonstrate how the choice of performance metrics often fails to align with the clinicians' interests, thereby impeding scientific progress and the practical application of machine learning (ML) algorithms. Next, I will present the Metrics Reloaded framework, which has been developed by an international expert consortium to overcome the aforementioned issues.
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Lena Maier‐Hein (2024) studied this question.
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