A survey of important issues in quantum computing and communications
Driven by the rapid progress in quantum hardware, recent years have witnessed a furious
race for quantum technologies in both academia and industry. Universal quantum …
race for quantum technologies in both academia and industry. Universal quantum …
Quantum machine learning applications in the biomedical domain: A systematic review
Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …
disciplines, which tend to range from chemistry to agriculture, natural language processing …
Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images
EH Houssein, Z Abohashima… - Journal of …, 2022 - academic.oup.com
Despite the great efforts to find an effective way for coronavirus disease 2019 (COVID-19)
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things
Quantum‐enhanced machine learning plays a vital role in healthcare because of its robust
application concerning current research scenarios, the growth of novel medical trials, patient …
application concerning current research scenarios, the growth of novel medical trials, patient …
D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI …
Background and Objective: In 2019, a corona virus disease (COVID-19) was detected in
China that affected millions of people around the world. On 11 March 2020, the WHO …
China that affected millions of people around the world. On 11 March 2020, the WHO …
Quantum machine learning in medical image analysis: A survey
L Wei, H Liu, J Xu, L Shi, Z Shan, B Zhao, Y Gao - Neurocomputing, 2023 - Elsevier
With the outstanding superposition and entanglement properties of quantum computing,
quantum machine learning has attracted widespread attention in many fields, such as …
quantum machine learning has attracted widespread attention in many fields, such as …
The state of quantum computing applications in health and medicine
FF Flöther - Research Directions: Quantum Technologies, 2023 - cambridge.org
Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …
related activities and experiments in the last few years (although biology and quantum …
A comparative study of detecting covid 19 by using chest X-ray images–A deep learning approach
J Miah, RH Khan, S Ahmed… - 2023 IEEE World AI IoT …, 2023 - ieeexplore.ieee.org
SARS-CoV-2's COVID-19 pandemic has quickly spread over the world, inflicting a sizable
number of illnesses and fatalities. Stopping the virus's spread depends on correctly and …
number of illnesses and fatalities. Stopping the virus's spread depends on correctly and …
Detection of anomaly in surveillance videos using quantum convolutional neural networks
Anomalous behavior identification is the process of detecting behavior that differs from its
normal. These incidents will vary from violence to war, road crashes to kidnapping, and so …
normal. These incidents will vary from violence to war, road crashes to kidnapping, and so …
A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images
Background and objectives Microscopic images are an important part for haematologists in
diagnosing various diseases in the blood cell. Changes in blood cells are caused by malaria …
diagnosing various diseases in the blood cell. Changes in blood cells are caused by malaria …