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 …

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 …

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 …

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 …

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 …

AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation

Y Yin, Z Han, M Jian, GG Wang, L Chen… - Computers in Biology and …, 2023 - Elsevier
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 …

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 …

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 …

Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays

GVE Rao, B Rajitha, PN Srinivasu, MF Ijaz… - … Signal Processing and …, 2024 - Elsevier
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 …

Evolving chimp optimization algorithm using quantum mechanism for engineering applications: a case study on fire detection

Z Zhang, M Khishe, L Qian, D Martín… - Journal of …, 2024 - academic.oup.com
This paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which
integrates the Chimp Optimization Algorithm (ChOA) with quantum mechanics principles to …