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

Introduction: At present, cancer imaging examination relies mainly on manual reading of
doctors, which requests a high standard of doctors' professional skills, clinical experience …

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancer types worldwide,
with the lowest 5-year survival rate among all kinds of cancers. Histopathology image …

Metastatic progression defines the final stages of tumor evolution and underlies the majority
of cancer-related deaths. The heterogeneity in disseminated tumor cell populations capable …

Spatially-resolved molecular profiling by immunostaining tissue sections is a key feature in
cancer diagnosis, subtyping, and treatment, where it complements routine histopathological …

CAD systems for histopathology image analysis using machine learning is a well
researched subject. Deep learning is playing a major role in advancing this research in the …

Multiple Myeloma (MM) is a malignancy of plasma cells. Similar to other forms of cancer, it
demands prompt diagnosis for reducing the risk of mortality. The conventional diagnostic …

Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A
machine learning algorithm that could predict individual cell immunophenotype based on …

Mechanisms of therapeutic resistance and vulnerability evolve in metastatic cancers as
tumor cells and extrinsic microenvironmental influences change during treatment. To …

Multiplexed imaging such as multicolor immunofluorescence staining, multiplexed
immunohistochemistry (mIHC) or cyclic immunofluorescence (cycIF) enables deep …