no code implementations • 7 Mar 2024 • Tim Lenz, Omar S. M. El Nahhas, Marta Ligero, Jakob Nikolas Kather
Specifically, we analyzed the effects of adaptations in data volume, architecture, and algorithms on downstream classification tasks, emphasizing their impact on computational resources.
1 code implementation • 6 Mar 2024 • Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather
Deep Learning (DL) can predict biomarkers directly from digitized cancer histology in a weakly-supervised setting.
1 code implementation • 18 Dec 2023 • Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine J. Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
Hematoxylin- and eosin (H&E) stained whole-slide images (WSIs) are the foundation of diagnosis of cancer.
Ranked #1 on Classification on TCGA