This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …

Every year, cancer is responsible for millions of deaths worldwide and, even though much
progress has been achieved in medicine, there are still many issues that must be addressed …

Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …

This paper presents an overview of methods that have been proposed for the analysis of
breast cancer histopathology images. This research area has become particularly relevant …

Over the past decades, medical image analytics was greatly facilitated by the explosion of
digital imaging techniques, where huge amounts of medical images were produced with …

Despite enormous development in the field of drug development, cancer still remains
elusive. Compromised immunity stands as a roadblock to the successful pharmacological …

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

Automatic analysis of histopathological images has been widely utilized leveraging
computational image-processing methods and modern machine learning techniques. Both …

Abstract Purpose of Review Our goal is to provide an overview of machine learning methods
and artificial intelligence in digital pathology image analysis. We also highlight novel …

In recent years, deep learning-based image analysis methods have been widely applied in
computer-aided detection, diagnosis and prognosis, and has shown its value during the …