Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

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 in downstream classification tasks. This is also true for the classification of mitotic figures vs. other cells. However, it is so far unclear if the latent space of current FMs provides features that are discriminan…

Paper

Similar papers

© 2026 NYSGPT2525 LLC