Stacking of Network Based Classifiers with Application in Breast Cancer Classification

The next generation of “m-health technologies” is an evolving topic that is very much related to two drivers; the first is the evolution of Information and Communications technologies (ICT), in particular mobile technologies and their capabilities. Second are the challenges facing the health and social care sector in terms of demographic change and the need for the provision of a more secure quality integrated patient-centered care. 4G-Health has addressed the long-term evolution of m-health and the inclusion of personalized care in the model of m-health. 4G-health is developed around the concept of Fourth-generation (4G) mobile communication systems. M-Health is still evolving to beyond 4G-Health to cater for the above challenges and benefit from the future technologies of fifth generation (5G), which means that 5G networks will revolutionize m-health systems by supporting scenarios not supported by existing 4G networks (e.g. high-resolution m- health data/image/video from high-speed vehicles).Ultra-dense networks are considered the foundation of 5G technology, with massive densification of small cells playing a fundamental part as an enabler for the 5G networks, leading to more connections than ever before. In this paper we consider a medical video streaming scenario over small cells as an example of future m-health systems.