The density of mitotic figures (MF) within tumor tissue is known to be highly correlated with
tumor proliferation and thus is an important marker in tumor grading. Recognition of MF by …

Interest in spatial omics is on the rise, but generation of highly multiplexed images remains
challenging, due to cost, expertise, methodical constraints, and access to technology. An …

The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is
an important prognostic marker, as it is a measure for tumor cell proliferation. However, the …

Background and objective The automatic registration of differently stained whole slide
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …

Abstract Background and Objective Histopathological image registration is an essential
component in digital pathology and biomedical image analysis. Deep-learning-based …

In histopathology, scanner-induced domain shifts are known to impede the performance of
trained neural networks when tested on unseen data. Multidomain pre-training or dedicated …

DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs)
acquired using multiple stains. It allows one to perform the preprocessing, initial alignment …

Purpose Endometrial cancer (EC) is one of the most common types of cancer affecting
women. While the hematoxylin-and-eosin (H&E) staining remains the standard for …

The U-net architecture has significantly impacted deep learning-based segmentation of
medical images. Through the integration of long-range skip connections, it facilitated the …

Computer-aided systems in histopathology are often challenged by various sources of
domain shift that impact the performance of these algorithms considerably. We investigated …