Context.—Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a
necessary first step for a wide array of digital tools to enter the field. Its basic function is to …

Validation studies of whole slide imaging (WSI) systems produce evidence regarding digital
microscopy (DM). This systematic review aimed to provide information about the …

Large-scale imaging of biological dynamics with high spatiotemporal resolution is
indispensable to system biology studies. However, conventional microscopes have an …

We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection
and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei …

Context.—Digital pathology (DP) implementations vary in scale, based on aims of intended
operation. Few laboratories have completed a full-scale DP implementation, which may be …

One of the challenges facing the adoption of digital pathology workflows for clinical use is
the need for automated quality control. As the scanners sometimes determine focus …

Histopathological examination is very important for diseases diagnosis and treatment. With
the development of artificial intelligence, more and more pathological databases have been …

This review is an evidence-based summary of digital pathology: past, present and future. It
discusses digital surgical pathology and the cytopathology digitisation challenge as well as …

Objective: Digital pathology is today a widely used technology, and the digitalization of
microscopic slides into whole slide images (WSIs) allows the use of machine learning …

Current histopathological diagnosis involves human expert interpretation of stained images
for diagnosis. This process is prone to inter-observer variability, often leading to low …