Colorectal adenocarcinoma originating in intestinal glandular structures is the most common
form of colon cancer. In clinical practice, the morphology of intestinal glands, including …

Deep learning algorithms have become the first choice as an approach to medical image
analysis, face recognition, and emotion recognition. In this survey, several deep-learning …

In histopathological image analysis, feature extraction for classification is a challenging task
due to the diversity of histology features suitable for each problem as well as presence of …

Feature extraction is a crucial and challenging aspect in the computer-aided diagnosis of
breast cancer with histopathological images. In recent years, many machine learning …

Histology is the microscopic inspection of plant or animal tissue. It is a critical component in
diagnostic medicine and a tool for studying the pathogenesis and biology of processes such …

Histopathological examination is today's gold standard for cancer diagnosis. However, this
task is time consuming and prone to errors as it requires a detailed visual inspection and …

The graph edit distance is a widely used distance measure for labelled graph. However,
A★− GED, the standard approach for its exact computation, suffers from huge runtime and …

The multi-channel nature of digital histopathological images presents an opportunity to
exploit the correlated color channel information for better image modeling. Inspired by recent …

Because of its flexibility, intuitiveness, and expressivity, the graph edit distance (GED) is one
of the most widely used distance measures for labeled graphs. Since exactly computing …

Colon cancer causes deaths of about half a million people every year. Common method of
its detection is histopathological tissue analysis, which, though leads to vital diagnosis, is …