3 papers
cs.CV2026
The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models
Dhyey Yajnik, Amina Asif, Fayyaz Minhas
How robust and generalisable are pathology foundation models and have their scaling limites been reached? We benchmarked twelve pathology foundation models (PFMs) and ResNet baseli…
q-bio.GN2025
DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning
George Wright, Slawomir Michniewski, Eleanor Jameson +1
Background: Phage therapy shows promise for treating antibiotic-resistant Klebsiella infections. Identifying phage depolymerases that target Klebsiella capsular polysaccharides is…
cs.LG2024
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
Piotr Keller, Muhammad Dawood, Brinder Singh Chohan +1
Machine learning in computational pathology (CPath) often aggregates patch-level predictions from multi-gigapixel Whole Slide Images (WSIs) to generate WSI-level prediction scores…