13 citations · 17 across the 4 of their papers we have counts for
4 papers
SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers
Craig Myles, In Hwa Um, Craig Marshall +2
Cancer remains one of the leading causes of morbidity and mortality worldwide. Comprehensive datasets that combine histopathological images with genetic and survival data across va…
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
Georg Wölflein, In Hwa Um, David J Harrison +1
The presence and density of specific types of immune cells are important to understand a patient's immune response to cancer. However, immunofluorescence staining required to ident…
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss
Haseeb Nazki, Ognjen Arandjelović, InHwa Um +1
Histopathology relies on the analysis of microscopic tissue images to diagnose disease. A crucial part of tissue preparation is staining whereby a dye is used to make the salient t…
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning
Jessica Cooper, In Hwa Um, Ognjen Arandjelović +1
Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify several proteins expressed on the surface of cells, enabling cell…