Background: The incorporation of digital pathology into routine pathology practice is
becoming more widespread. Definite advantages exist with respect to the implementation of …

Digital cytology and artificial intelligence (AI) are gaining greater adoption in the cytology
laboratory. However, peer reviewed real-world data and literature are lacking in regard to …

Digital cytology and artificial intelligence (AI) are gaining greater adoption in the
cytopathology laboratory. However, peer reviewed real-world data and literature are lacking …

Artificial intelligence (AI) has made impressive strides recently in interpreting complex
images, thanks to improvements in deep learning techniques and increasing computational …

Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

Over the last 20 years we have seen an increase in techniques in the field of computational
pathology and machine learning, improving our ability to analyze and interpret imaging …

Artificial intelligence, deep convolutional neural networks, and deep learning are all niche
terms that are increasingly appearing in scientific presentations as well as in the general …

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 …

There has been an exponential growth in the application of AI in health and in pathology.
This is resulting in the innovation of deep learning technologies that are specifically aimed at …

Cytology plays an important role in diagnosing and managing human diseases, especially
cancer, as it is often a simple, low cost yet effective, and non-invasive or minimally invasive …