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cs.CV2025
Preserving instance continuity and length in segmentation through connectivity-aware loss computation
Karol Szustakowski, Luk Frank, Julia Esser +2
In many biomedical segmentation tasks, the preservation of elongated structure continuity and length is more important than voxel-wise accuracy. We propose two novel loss functions…
cs.LG2025
Forest-Guided Clustering -- Shedding Light into the Random Forest Black Box
Lisa Barros de Andrade e Sousa, Gregor Miller, Ronan Le Gleut +3
As machine learning models are increasingly deployed in sensitive application areas, the demand for interpretable and trustworthy decision-making has increased. Random Forests (RF)…