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 …

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

We propose a framework for studying visual morphological patterns across histopathological
whole-slide images (WSIs). Image representation is an important component of computer …

Whole slide imaging (WSI) refers to the digitization of a tissue specimen which enables
pathologists to explore high-resolution images on a monitor rather than through a …

Histopathological whole-slide images (WSIs) have emerged as an objective and quantitative
means for image-based disease diagnosis. However, WSIs may contain acquisition artifacts …

Whole-slide histology images contain information that is valuable for clinical and basic
science investigations of cancer but extracting quantitative measurements from these …

Simple Summary The histopathologic type is one of the most important prognostic factors in
gastric cancer (GC), which underpins the basic strategy for surgical management. In the …

To detect abnormality from histopathology images in a patch-based convolutional neural
network (CNN), spatial context is an important cue. However, whole-slide image (WSI) is …

Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-
aided tissue examination using machine learning techniques, especially convolutional …

Background Many methodologies for selecting histopathological images, such as sample
image patches or segment histology from regions of interest (ROIs) or whole-slide images …