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 …

Pathologists worldwide are facing remarkable challenges with increasing workloads and
lack of time to provide consistently high-quality patient care. The application of artificial …

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 …

Background Computational pathology has seen rapid growth in recent years, driven by
advanced deep-learning algorithms. Due to the sheer size and complexity of multi-gigapixel …

In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

The advent of whole-slide imaging in digital pathology has brought about the advancement
of computer-aided examination of tissue via digital image analysis. Digitized slides can now …

In modern clinical practice, digital pathology has a crucial role and is increasingly a
technological requirement in the scientific laboratory environment. The advent of whole-slide …

With the rise in whole slide scanner technology, large numbers of tissue slides are being
scanned and represented and archived digitally. While digital pathology has substantial …

Objectives With the objective of bringing clinical decision support systems to reality, this
article reviews histopathological whole-slide imaging informatics methods, associated …

Data processing and learning has become a spearhead for the advancement of medicine,
with pathology and laboratory medicine has no exception. The incorporation of scientific …