Histological staining is the gold standard for tissue examination in clinical pathology and life-
science research, which visualizes the tissue and cellular structures using chromatic dyes or …

Cellular senescence is a well-established driver of aging and age-related diseases. There
are many challenges to mapping senescent cells in tissues such as the absence of specific …

Prostate cancer treatment planning is largely dependent upon examination of core-needle
biopsies. The microscopic architecture of the prostate glands forms the basis for prognostic …

Reporting biomarkers assessed by routine immunohistochemical (IHC) staining of tissue is
broadly used in diagnostic pathology laboratories for patient care. So far, however, clinical …

Generative adversarial networks (GANs) have gained significant attention in the field of
image synthesis, particularly in computer vision. GANs consist of a generative model and a …

Triple-negative breast cancer (TNBC) patients have a poor prognosis and few treatment
options. Mouse models of TNBC are important for development of new therapies, however …

The term 'precancer'typically refers to an early stage of neoplastic development that is
distinguishable from normal tissue owing to molecular and phenotypic alterations, resulting …

The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for
research and clinical applications. Advances in computing, deep learning, and availability of …

Objectives Developing accurate supervised machine learning algorithms is hampered by
the lack of representative annotated datasets. Most data in anatomic pathology are …

Background In digital pathology, many image analysis tasks are challenged by the need for
large and time-consuming manual data annotations to cope with various sources of …