[图书][B] Deep learning techniques for biomedical and health informatics

S Dash, BR Acharya, M Mittal, A Abraham, A Kelemen - 2020 - Springer
Biomedical and Health Informatics is an emerging field of research at the intersection of
information science, computer science, and health care. Health care informatics and …

[HTML][HTML] Intelligent health care: Applications of deep learning in computational medicine

S Yang, F Zhu, X Ling, Q Liu, P Zhao - Frontiers in Genetics, 2021 - frontiersin.org
With the progress of medical technology, biomedical field ushered in the era of big data,
based on which and driven by artificial intelligence technology, computational medicine has …

Efficient deep learning approaches for health informatics

TM Navamani - Deep learning and parallel computing environment for …, 2019 - Elsevier
The need of data analytics in health informatics for better decision making is a challenging
domain for the past decade. This stimulates more interest of researchers for the design of …

Machine learning and deep learning: Open issues and future research directions for the next 10 years

A Pramod, HS Naicker, AK Tyagi - Computational analysis and …, 2021 - Wiley Online Library
With the development in technology, many other technologies like machine learning (ML),
deep learning, blockchain technology, Internet of Things, and quantum computing have …

Healthcare techniques through deep learning: issues, challenges and opportunities

R Amin, MA Al Ghamdi, SH Almotiri, M Alruily - IEEE Access, 2021 - ieeexplore.ieee.org
In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …

Deep learning for healthcare: review, opportunities and challenges

R Miotto, F Wang, S Wang, X Jiang… - Briefings in …, 2018 - academic.oup.com
Gaining knowledge and actionable insights from complex, high-dimensional and
heterogeneous biomedical data remains a key challenge in transforming health care …

Use of deep learning for disease detection and diagnosis

S Mishra, A Dash, L Jena - Bio-inspired neurocomputing, 2021 - Springer
A dynamic research area which is progressively growing its importance in the field of
medical diagnosis and detection is computer-aided diagnosis and detection. Suppose we …

[HTML][HTML] Book review: Deep learning

KG Kim - Healthcare informatics research, 2016 - synapse.koreamed.org
Kwang Gi Kim https://doi. org/10.4258/hir. 2016.22. 4.351 ing those who are beginning their
careers in deep learning and artificial intelligence research. The other target audience …

A precise analysis of deep learning for medical image processing

S Mishra, HK Tripathy, B Acharya - Bio-inspired neurocomputing, 2021 - Springer
Recently, usage of image processing in machine learning (ML) is growing fast. Medical
image processing, image segmentation, computer-aided diagnosis, image transformation …

[HTML][HTML] A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues

S Shamshirband, M Fathi, A Dehzangi… - Journal of Biomedical …, 2021 - Elsevier
In the last few years, the application of Machine Learning approaches like Deep Neural
Network (DNN) models have become more attractive in the healthcare system given the …