RATIONALE AND OBJECTIVES: Computer-aided detection and diagnosis (CAD) systems
have been developed in the past two decades to assist radiologists in the detection and …

Neuroscience is increasingly making use of statistical and mathematical tools to extract
information from images of biological tissues. Computational neuroimaging tools require …

Introduction Breast cancer is globally a major threat for women's health. Screening and
adequate follow-up can significantly reduce the mortality from breast cancer. Human second …

Cancer is a disease that propagates due to the uncontrollable growth of abnormal cells.
Abnormal cells perform unusual functions rather than a predefined function within the …

Radiology images are generally disconnected from the metadata describing their contents,
such as imaging observations (“semantic” metadata), which are usually described in text …

In this report, ITIF argues that supporting the deployment of faster broadband networks will
be crucial to enabling next-generation Web-based applications and services that will play …

Medical imaging research deals with large, heterogeneous and fragmented amounts of
medical images. Such challenges lead to the need for secure, federated and functional …

In previous chapters, we discussed the usage of AI in healthcare, medical imaging, and
detection of breast cancer with various points. In this chapter, various image datasets for the …

The integration of different European medical systems by means of grid technologies will
continue to be challenging if technology does not intervene to enhance interoperability …

Objectives: Clinical practitioners and medical researchers often have to share health data
with other colleagues across Europe. Privacy compliance in this context is very important but …