AI applications to medical images: From machine learning to deep learning
Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …
research and healthcare services. This review focuses on challenges points to be clarified …
Multimodal data fusion for cancer biomarker discovery with deep learning
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
Privacy protection of medical data based on multi-scroll memristive Hopfield neural network
F Yu, H Shen, Q Yu, X Kong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Memristive Hopfield neural network (MHNN) has complex dynamic behavior, which is
suitable for encryption applications. In order to ensure the information security of the medical …
suitable for encryption applications. In order to ensure the information security of the medical …
Brain-like initial-boosted hyperchaos and application in biomedical image encryption
Neural networks have been widely and deeply studied in the field of computational
neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics …
neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics …
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …
emerging that have enabled researchers to access multi-layer information from the genome …
Hyperchaotic memristive ring neural network and application in medical image encryption
Neural networks are favored by academia and industry because of their diversity of
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …
Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare
Integration of digital technologies and public health (or digital healthcare) helps us to fight
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
A review of trustworthy and explainable artificial intelligence (xai)
The advancement of Artificial Intelligence (AI) technology has accelerated the development
of several systems that are elicited from it. This boom has made the systems vulnerable to …
of several systems that are elicited from it. This boom has made the systems vulnerable to …
Adversarial attacks and defenses on AI in medical imaging informatics: A survey
In recent years, medical images have significantly improved and facilitated diagnosis in
versatile tasks including classification of lung diseases, detection of nodules, brain tumor …
versatile tasks including classification of lung diseases, detection of nodules, brain tumor …
A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare
The most remarkable advancements in artificial intelligence (AI) plus machine learning (ML)
technologies with integration addicted to healthcare systems face several challenges in …
technologies with integration addicted to healthcare systems face several challenges in …