Deep Learning and Its Applications in Biomedicine

Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data,such as medical images,electroencephalography,genomic and protein sequences.Learning from these data facilitates the understanding of human health and disease.Developed from arti?cial neural networks,deep learning-based algorithms show great promise in extracting features and learning patterns from complex data.The aim of this paper is to provide an overview of deep learning techniques and some of the state-of-the-art applications in the biomedical?eld.We?rst introduce the development of arti?cial neural network and deep learning.We then describe two main components of deep learning,i.e.,deep learning architectures and model optimization.Subsequently,some examples are demonstrated for deep learningapplications,including medical image classi?cation,genomic sequence analysis,as well as protein structure classi?cation and prediction.Finally,we offer our perspectives for the future directions in the?eld of deep learning.