Special Issue: Deep Learning for Biomedical and Health Informatics

December 30, 2016

Special Issue: Deep Learning for Biomedical and Health Informatics

Deep learning is a rapidly advancing field in recent years, in terms of both methodological development and practical applications. It allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and ideally suited to some of the hardware architectures that are currently available.

The purpose of this special issue is to report the latest advances in the field of deep learning for biomedical and health informatics, addressing both original algorithmic development and new applications of deep learning. In this special section, we have selected 9 papers submitted to this call and which covers different deep learning approaches for biomedical and health informatics:

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