Distilling foundation models for robust and efficient models in digital pathology

Alexandre Filiot, Nicolas Dop, Oussama Tchita +8

In recent years, the advent of foundation models (FM) for digital pathology has relied heavily on scaling the pre-training datasets and the model size, yielding large and powerful…