Digital pathology (DP) is a new research area which falls under the broad umbrella of health
informatics. Owing to its potential for major public health impact, in recent years DP has …

Histopathology images; microscopy images of stained tissue biopsies contain fundamental
prognostic information that forms the foundation of pathological analysis and diagnostic …

Histopathology is the gold standard method for staging and grading human tumors and
provides critical information for the oncoteam's decision making. Highly-trained pathologists …

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 …

Aims Artificial intelligence (AI) provides a powerful tool to extract information from digitised
histopathology whole slide images. During the last 5 years, academic and commercial …

Background: Deep learning (DL) is a representation learning approach ideally suited for
image analysis challenges in digital pathology (DP). The variety of image analysis tasks in …

Computational pathology uses artificial intelligence to enable precision medicine and
decision support systems through the analysis of whole slide images. It has the potential to …

Over the past decade, many new cancer treatments have been developed and made
available to patients. However, in most cases, these treatments only benefit a specific …

Digital histopathological images, high‐resolution images of stained tissue samples, are a
vital tool for clinicians to diagnose and stage cancers. The visual analysis of patient state …

With the rise in whole slide scanner technology, large numbers of tissue slides are being
scanned and represented and archived digitally. While digital pathology has substantial …