Traditional pathology approaches have played an integral role in the delivery of diagnosis,
semi-quantitative or qualitative assessment of protein expression, and classification of …

With the convergence of digital pathology (DP) and artificial intelligence (AI), anatomic
pathology practice has been experiencing an exciting paradigm shifting. Pathologists will be …

Informatics can be defined as using highly advanced technologies to improve patient
diagnosis or management. Pathology informatics had evolved as a response to the …

Background Histopathology image analysis is a gold standard for cancer recognition and
diagnosis. Automatic analysis of histopathology images can help pathologists diagnose …

The use of artificial intelligence will transform clinical practice over the next decade and the
early impact of this will likely be the integration of image analysis and machine learning into …

The diagnosis of cancer is typically based on histopathological sections or biopsies on glass
slides. Artificial intelligence (AI) approaches have greatly enhanced our ability to extract …

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 …

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 …

Simple Summary The rapid development of technology has enabled numerous applications
of artificial intelligence (AI), especially in medical science. Histopathological assessment of …

Digital pathology (DP) is no longer an unfamiliar term for pathologists, but it is still difficult for
many pathologists to understand the engineering and mathematics concepts involved in DP …