Recent advances in artificial intelligence show tremendous promise to improve the
accuracy, reproducibility, and availability of medical diagnostics across a number of medical …

Pathology is a medical subspecialty that practices the diagnosis of disease. Microscopic
examination of tissue reveals information enabling the pathologist to render accurate …

The histological assessment of human tissue has emerged as the key challenge for
detection and treatment of cancer. A plethora of different data sources ranging from tissue …

The recent availability of digital whole slide imaging (WSI) data sets from glass slides
creates new opportunities for possible deployment of computer aided diagnostic (CAD) …

Data processing and learning has become a spearhead for the advancement of medicine,
with pathology and laboratory medicine has no exception. The incorporation of scientific …

In light of the recent success of artificial intelligence (AI) in computer vision applications,
many researchers and physicians expect that AI would be able to assist in many tasks in …

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 …

The diagnosis of disease often requires analysis of a biopsy. Many diagnoses depend not
only on the presence of certain features but on their location within the tissue. Recently, a …

Make deep learning algorithms in computational pathology more reproducible and reusable |
Nature Medicine Skip to main content Thank you for visiting nature.com. You are using a browser …

Imaging datasets in cancer research are growing exponentially in both quantity and
information density. These massive datasets may enable derivation of insights for cancer …