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cs.CV2026
Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
Sweta Banerjee, Alireza Teimoury, Nils Porsche +11
Pathology foundation models (FMs) are models trained on vast amounts of typically unlabeled data and have been shown to yield regularized latent spaces that can be used effectively…
cs.CV2026
Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics
Christof A. Bertram, Jonas Ammeling, Alexander Bartel +2
Deep learning-based automated image analysis (DL-AIA) has been shown to outperform trained pathologists in tasks related to feature quantification. Related to these capacities the…