For a kinetic consensus-based segmentation model, the choice of evaluation metric changes the optimized model parameters, with Surface Dice being the most representative and F-beta unreliable.
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Understanding the Impact of Evaluation Metrics in Kinetic Models for Consensus-based Segmentation
For a kinetic consensus-based segmentation model, the choice of evaluation metric changes the optimized model parameters, with Surface Dice being the most representative and F-beta unreliable.