Digital pathology represents one of the major evolutions in modern medicine. Pathological
examinations constitute the gold standard in many medical protocols, and also play a critical …

Over the past decade, dramatic increases in computational power and improvement in
image analysis algorithms have allowed the development of powerful computer-assisted …

Labeling a histopathology image as having cancerous regions or not is a critical task in
cancer diagnosis; it is also clinically important to segment the cancer tissues and cluster …

Context: Histopathological characterization of colorectal polyps is critical for determining the
risk of colorectal cancer and future rates of surveillance for patients. However, this …

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

Classification of medical images is an important issue in computer-assisted diagnosis. In this
paper, a classification scheme based on a one-class kernel principle component analysis …

Digitizing pathology is a current trend that makes large amounts of visual data available for
automatic analysis. It allows to visualize and interpret pathologic cell and tissue samples in …

Cancer tissues in histopathology images exhibit abnormal patterns; it is of great clinical
importance to label a histopathology image as having cancerous regions or not and perform …

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 …

Accurate and reliable classification of microscopic biopsy images is an important issue in
computer assisted breast cancer diagnosis. In this paper, a new cascade Random …