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

Digital pathology systems offer pathologists an alternate, emerging mechanism to manage
and interpret information. They offer increasingly fast and scalable hardware platforms for …

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 …

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 …

Background The integration and visualization of multimodal datasets is a common challenge
in biomedical informatics. Several recent studies of The Cancer Genome Atlas (TCGA) data …

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

Background: Analysis of tissue biopsy whole-slide images (WSIs) depends on effective
detection and elimination of image artifacts. We present a novel method to detect tissue-fold …

Deep learning methods have emerged as powerful tools for analyzing histopathological
images, but current methods are often specialized for specific domains and software …

Recent advances in whole‐slide imaging (WSI) technology have led to the development of a
myriad of computer vision and artificial intelligence‐based diagnostic, prognostic, and …

With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …