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 …

A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate
due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It …

Deep learning using convolutional neural networks is an actively emerging field in
histological image analysis. This study explores deep learning methods for computer-aided …

With the emergence of digital pathology, searching for similar images in large archives has
gained considerable attention. Image retrieval can provide pathologists with unprecedented …

Pathology images of histopathology can be acquired from camera-mounted microscopes or
whole-slide scanners. Utilizing similarity calculations to match patients based on these …

Histopathological Whole Slide Images (WSIs) play a crucial role in cancer diagnosis. It is of
significant importance for pathologists to search for images sharing similar content with the …

Automated analysis of multi-dimensional microscopy images has become an integral part of
modern research in life science. Most available algorithms that provide sufficient …

Digital image analysis of histological datasets is a currently expanding field of research. With
different stains, magnifications and types of tissues, histological images are inherently …

Abstract Content-based Image Retrieval (CBIR) aids radiologist to identify similar medical
images in recalling previous cases during diagnosis. Although several algorithms have …

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal human cancers.
However, the symptoms and radiographic appearance of chronic pancreatitis (CP) mimics …