The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.
Deep Learning and Its Applications in Biomedicine
Open accessAbstract
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 artificial 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 field. We first introduce the development of artificial 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 learning applications, including medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. Finally, we offer our perspectives for the future directions in the field of deep learning.
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Cited by
An overview of deep learning in medical imaging focusing on MRI
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Deep Learning for Anomaly Detection: A Survey
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“The past few years have seen a wide range of AI applications to biomedicine researches, for example, medical image classification, genomic sequence analysis, classification and prediction, biomarkers, structural biology and chemistry, multiplatform data processing, drug discovery and repurposing [85], [86].”
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The state of the art of deep learning models in medical science and their challenges
Bhatt, C., Kumar, I., Vijayakumar, V., Singh, K. U., & Kumar, A. (2021) · Multimedia Systems · doi:10.1007/s00530-020-00694-1 · Cited by 222
Metadata
- Authors
- Cao, C., Liu, F., Tan, H., Song, D., Shu, W., Li, W., Zhou, Y., Bo, X., & Xie, Z.
- Venue
- Genomics, Proteomics & Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-02-01
- Volume
- 16
- Issue
- 1
- Pages
- 17-32
- ISSN
- 1672-0229 (ISSN-L)
- 2210-3244
- OpenAlex
- W2789367970
- Cited by
- 624
- References
- 172
- FWCI
- 10.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Cao, C., Liu, F., Tan, H., Song, D., Shu, W., Li, W., Zhou, Y., Bo, X., & Xie, Z. (2018). Deep Learning and Its Applications in Biomedicine. Genomics, Proteomics & Bioinformatics. https://doi.org/10.1016/j.gpb.2017.07.003
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