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

Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …

This study attempts to categorise research conducted in the area of: use of machine learning
in healthcare, using a systematic mapping study methodology. In our attempt, we reviewed …

Cancer causes deviations in the distribution of cells, leading to changes in biological
structures that they form. Correct localization and characterization of these structures are …

Large amounts of histology images are captured and archived in pathology departments
due to the ever expanding use of digital microscopy. The ability to manage and access these …

We propose a framework for studying visual morphological patterns across histopathological
whole-slide images (WSIs). Image representation is an important component of computer …

We describe a framework to model visual semantics of liver lesions in CT images in order to
predict the visual semantic terms (VST) reported by radiologists in describing these lesions …

A retrospective aspect of prenatal complexities during pregnancy and advancements in
technology shows the need for unscathed fetal ECG extraction from a single mother …

Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However,
the analysis of such images is challenging even for experienced pathologists, resulting in …

Background The current practice of histopathology review is limited in speed and accuracy.
The current diagnostic paradigm does not fully describe the complex and complicated …