This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …

Abstract Information, archives, and intelligent artificial systems are part of everyday life in
modern medicine. They already support medical staff by mapping their workflows with …

Deep learning (DL) has become one of the major approaches in computational
dermatopathology, evidenced by a significant increase in this topic in the current literature …

Background Digital pathology (DP) has the potential to fundamentally change the way that
histopathology is practised, by streamlining the workflow, increasing efficiency, improving …

Abstract Purpose of Review Our goal is to provide an overview of machine learning methods
and artificial intelligence in digital pathology image analysis. We also highlight novel …

Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

Many studies have examined the diagnostic concordance of whole slide imaging (WSI) and
light microscopy (LM) for surgical pathology. In cytopathology, WSI use has been more …

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

Digital pathology has gone through considerable technical advances during the past few
years and certain aspects of digital diagnostics have been widely and swiftly adopted in …

Breast cancer is the most common malignancy in women worldwide, and is responsible for
more than half a million deaths each year. The appropriate therapy depends on the …