Pathology is essential for research in disease and development, as well as for clinical
decision making. For more than 100 years, pathology practice has involved analyzing …

Recent advances in computational algorithms, along with the advent of whole slide imaging
as a platform for embedding artificial intelligence (AI), are transforming pattern recognition …

Pathology informatics has evolved to varying levels around the world. The history of
pathology informatics in different countries is a tale with many dimensions. At first glance, it …

Simple Summary The histopathological image is widely considered as the gold standard for
the diagnosis and prognosis of human cancers. Recently, deep learning technology has …

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 …

Histopathology is a vital diagnostic discipline in medicine, fundamental to our
understanding, detection, assessment and treatment of conditions such as cancer, dementia …

In modern clinical practice, digital pathology has an essential role, being a technological
necessity for the activity in the pathological anatomy laboratories. The development of …

Artificial intelligence (AI), including deep learning methods that leverage neural network-
based algorithms, hold significant promise for dermatopathology and other areas of …

Pathology laboratories are undergoing digital transformations, adopting innovative
technologies to enhance patient care. Digital pathology systems impact clinical, education …

Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …