In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Artificial intelligence (AI) has contributed substantially to the resolution of a variety of
biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI …

The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential
to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is …

Breast cancer is the most common cancer and second leading cause of cancer-related
death worldwide. The mainstay of breast cancer workup is histopathological diagnosis …

Artificial intelligence methods including deep neural networks (DNN) can provide rapid
molecular classification of tumors from routine histology with accuracy that matches or …

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

Image analysis in the field of digital pathology has recently gained increased popularity. The
use of high-quality whole-slide scanners enables the fast acquisition of large amounts of …

Deep learning‐based computer vision methods have recently made remarkable
breakthroughs in the analysis and classification of cancer pathology images. However, there …

The diagnosis of cancer is mainly performed by visual analysis of the pathologists, through
examining the morphology of the tissue slices and the spatial arrangement of the cells. If the …

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 …