Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

Advancements in imaging technologies have revolutionized our ability to deeply profile
pathological tissue architectures, generating large volumes of imaging data with …

In computational pathology, automatic nuclei instance segmentation plays an essential role
in whole slide image analysis. While many computerized approaches have been proposed …

Cellular nuclei recognition serves as a fundamental and essential step in the workflow of
digital pathology. However, with disparate source organs and staining procedures among …

Foundation models pretrained on large-scale datasets are revolutionizing the field of
computational pathology (CPath). The generalization ability of foundation models is crucial …

Multiple instance learning (MIL)-based framework has become the mainstream for
processing the whole slide image (WSI) with giga-pixel size and hierarchical image context …

Digital pathology technologies, including whole slide imaging (WSI), have significantly
improved modern clinical practices by facilitating storing, viewing, processing, and sharing …

Nuclear-derived morphological features and biomarkers provide relevant insights regarding
the tumour microenvironment, while also allowing diagnosis and prognosis in specific …

Histopathology is a vital diagnostic discipline in medicine, fundamental to our
understanding, detection, assessment and treatment of conditions such as cancer, dementia …

The recognition of multi-class cell nuclei can significantly facilitate the process of
histopathological diagnosis. Numerous pathological datasets are currently available, but …