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Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision
EH Houssein, Z Abohashima, M Elhoseny… - Expert Systems with …, 2022 - Elsevier
Abstract Machine learning has become a ubiquitous and effective technique for data
processing and classification. Furthermore, due to the superiority and progress of quantum …
processing and classification. Furthermore, due to the superiority and progress of quantum …
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
EH Houssein, MM Emam, AA Ali - Neural computing and applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
Quantum machine learning for image classification
A Senokosov, A Sedykh, A Sagingalieva… - Machine Learning …, 2024 - iopscience.iop.org
Image classification, a pivotal task in multiple industries, faces computational challenges
due to the burgeoning volume of visual data. This research addresses these challenges by …
due to the burgeoning volume of visual data. This research addresses these challenges by …
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 …
AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation
In recent years, Unet and its variants have gained astounding success in the realm of
medical image processing. However, some Unet variant networks enhance their …
medical image processing. However, some Unet variant networks enhance their …
Hybrid neural network-based metaheuristics for prediction of financial markets: a case study on global gold market
M Mousapour Mamoudan, A Ostadi… - Journal of …, 2023 - academic.oup.com
Technical analysis indicators are popular tools in financial markets. These tools help
investors to identify buy and sell signals with relatively large errors. The main goal of this …
investors to identify buy and sell signals with relatively large errors. The main goal of this …
Quantum machine learning in medical image analysis: A survey
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 …
Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays
The human respiratory system might be seriously affected by COVID-19 infection. Therefore,
early classification of it is a crucial task. Quantum machine learning and quantum neural …
early classification of it is a crucial task. Quantum machine learning and quantum neural …
Evolving chimp optimization algorithm using quantum mechanism for engineering applications: a case study on fire detection
This paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which
integrates the Chimp Optimization Algorithm (ChOA) with quantum mechanics principles to …
integrates the Chimp Optimization Algorithm (ChOA) with quantum mechanics principles to …