The rapidly expanding field of big data analytics has started to play a pivotal role in the
evolution of healthcare practices and research. It has provided tools to accumulate, manage …

Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …

Big data technologies are increasingly used for biomedical and health-care informatics
research. Large amounts of biological and clinical data have been generated and collected …

With the increase in smart devices, spatiotemporal data has grown exponentially. To deal
with challenges caused by an increase data requires a scalable and efficient architecture …

The emergence of massive datasets in a clinical setting presents both challenges and
opportunities in data storage and analysis. This so called “big data” challenges traditional …

Support of high performance queries on large volumes of scientific spatial data is becoming
increasingly important in many applications. This growth is driven by not only geospatial …

Background Histopathology images are critical for medical diagnosis, eg, cancer and its
treatment. A standard histopathology slice can be easily scanned at a high resolution of, say …

In the last few years there has been tremendous increase in the storage and processing of
data, with significant speed and storage space requirements. Medical image storage and …

The data explosion and the tremendous growth in the volume of data generated from
various IT services places an enormous demand on harnessing and smartly analyzing the …

Résumé The increasingly intensive collection of digitalized images of tumor tissue over the
last decade made histopathology a demanding application in terms of computational and …