Infectious diseases still threaten the global community, especially in resource-limited
countries. An accurate diagnosis is paramount to proper patient and public health …

Objective The digital revolution in pathology represents an invaluable resource fto optimise
costs, reduce the risk of error and improve patient care, even though it is still adopted in a …

Background After a series of standardized reporting systems in cytopathology, the Sydney
system was recently introduced to address the need for reproducibility and standardization …

Objective Broad adoption of digital pathology (DP) is still lacking, and examples for DP
connecting diagnostic, research, and educational use cases are missing. We blueprint a …

Deep learning technology has been used in the medical field to produce devices for clinical
practice. Deep learning methods in cytology offer the potential to enhance cancer screening …

Complete digital pathology transformation for primary histopathological diagnosis is a
challenging yet rewarding endeavor. Its advantages are clear with more efficient workflows …

Objective Thyroid pathology has great potential for automated/artificial intelligence algorithm
application as the incidence of thyroid nodules is increasing and the indeterminate …

Objective Digital pathology (DP) is currently in the spotlight and is rapidly gaining ground,
even though the history of this field spans decades. Despite great technological progress …

Background. Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as
a necessary first step for a wide array of digital tools to enter the field. It utilizes virtual …

Whole slide imaging (WSI) allows pathologists to view virtual versions of slides on computer
monitors. With increasing adoption of digital pathology, laboratories have begun to validate …