Virchow: A million-slide digital pathology foundation model

E Vorontsov, A Bozkurt, A Casson, G Shaikovski… - arXiv preprint arXiv …, 2023 - arxiv.org
Computational pathology uses artificial intelligence to enable precision medicine and
decision support systems through the analysis of whole slide images. It has the potential to …

Pathoduet: Foundation models for pathological slide analysis of H&E and IHC stains

S Hua, F Yan, T Shen, L Ma, X Zhang - Medical Image Analysis, 2024 - Elsevier
Large amounts of digitized histopathological data display a promising future for developing
pathological foundation models via self-supervised learning methods. Foundation models …

[PDF][PDF] A good feature extractor is all you need for weakly supervised learning in histopathology

G Wölflein, D Ferber, AR Meneghetti, OSM El Nahhas… - training, 2023 - researchgate.net
Deep learning is revolutionising pathology, offering novel opportunities in disease prognosis
and personalised treatment. Historically, stain normalisation has been a crucial …

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy

K Kenyon-Dean, ZJ Wang, J Urbanik… - arXiv preprint arXiv …, 2024 - arxiv.org
Large-scale cell microscopy screens are used in drug discovery and molecular biology
research to study the effects of millions of chemical and genetic perturbations on cells. To …

Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification

L Dedieu, N Nerrienet, A Nivaggioli, C Simmat… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in deep learning have proven highly effective in medical image
classification, notably within histopathology. However, noisy labels represent a critical …

Going Beyond Salience: Deep Learning for the Discovery of Meaningful Pathomic Markers

GB Machiraju - 2024 - search.proquest.com
Deep learning methods have demonstrated impressive performance in using histopathology
data for both diagnosis and prognosis, sometimes even achieving AUROCs nearly 1.0 …