most citedBenchmarking foundation models as feature extractors for weakly-supervised computational pathology

13 citations · 13 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2025

A deep learning framework for efficient pathology image analysis

Peter Neidlinger, Tim Lenz, Sebastian Foersch +24

Artificial intelligence (AI) has transformed digital pathology by enabling biomarker prediction from high-resolution whole-slide images (WSIs). However, current methods are computa…