From whole-slide image to biomarker prediction: a protocol for end-to-end deep learning in computational pathology
OSM El Nahhas, M van Treeck, G Wölflein… - arXiv preprint arXiv …, 2023 - arxiv.org
Hematoxylin-and eosin (H&E) stained whole-slide images (WSIs) are the foundation of
diagnosis of cancer. In recent years, development of deep learning-based methods in …
diagnosis of cancer. In recent years, development of deep learning-based methods in …
DeepMed: a unified, modular pipeline for end-to-end deep learning in computational pathology
M van Treeck, D Cifci, NG Laleh, OL Saldanha… - BioRxiv, 2021 - biorxiv.org
The interpretation of digitized histopathology images has been transformed thanks to
artificial intelligence (AI). End-to-end AI algorithms can infer high-level features directly from …
artificial intelligence (AI). End-to-end AI algorithms can infer high-level features directly from …
Overall Survival Time Estimation for Epithelioid Peritoneal Mesothelioma Patients from Whole-Slide Images
KM Papadopoulos, P Barmpoutis, T Stathaki… - …, 2024 - mdpi.com
Background: The advent of Deep Learning initiated a new era in which neural networks
relying solely on Whole-Slide Images can estimate the survival time of cancer patients …
relying solely on Whole-Slide Images can estimate the survival time of cancer patients …