QNMF: A quantum neural network based multimodal fusion system for intelligent diagnosis
Z Qu, Y Li, P Tiwari - Information Fusion, 2023 - Elsevier
Abstract The Internet of Medical Things (IoMT) has emerged as a significant research area in
the medical field, enabling the transmission of various types of data to the cloud for analysis …
the medical field, enabling the transmission of various types of data to the cloud for analysis …
Medical image diagnosis based on adaptive Hybrid Quantum CNN
Hybrid quantum systems have shown promise in image classification by combining the
strengths of both classical and quantum algorithms. These systems leverage the parallel …
strengths of both classical and quantum algorithms. These systems leverage the parallel …
A quantum deep convolutional neural network for image recognition
Deep learning achieves unprecedented success involves many fields, whereas the high
requirement of memory and time efficiency tolerance have been the intractable challenges …
requirement of memory and time efficiency tolerance have been the intractable challenges …
A quantum convolutional network and ResNet (50)-based classification architecture for the MNIST medical dataset
Biomedical image classification is crucial for both computer vision tasks and clinical care.
The conventional method requires a significant amount of time and effort for extracting and …
The conventional method requires a significant amount of time and effort for extracting and …
Dtqfl: A digital twin-assisted quantum federated learning algorithm for intelligent diagnosis in 5G mobile network
Z Qu, Y Li, B Liu, D Gupta… - IEEE journal of biomedical …, 2023 - ieeexplore.ieee.org
Smart healthcare aims to revolutionize med-ical services by integrating artificial intelligence
(AI). The limitations of classical machine learning include privacy concerns that prevent …
(AI). The limitations of classical machine learning include privacy concerns that prevent …
Quantum machine learning architecture for COVID-19 classification based on synthetic data generation using conditional adversarial neural network
Background COVID-19 is a novel virus that affects the upper respiratory tract, as well as the
lungs. The scale of the global COVID-19 pandemic, its spreading rate, and deaths are …
lungs. The scale of the global COVID-19 pandemic, its spreading rate, and deaths are …
Hybrid quantum-classical convolutional neural network model for image classification
Image classification plays an important role in remote sensing. Earth observation (EO) has
inevitably arrived in the big data era, but the high requirement on computation power has …
inevitably arrived in the big data era, but the high requirement on computation power has …
Oncological Applications of Quantum Machine Learning
Background: Cancer is a leading cause of death worldwide. Machine learning (ML) and
quantum computers (QCs) have recently advanced significantly. Numerous studies have …
quantum computers (QCs) have recently advanced significantly. Numerous studies have …
Histopathological cancer detection using hybrid quantum computing
We present an effective application of quantum machine learning in the field of healthcare.
The study here emphasizes on a classification problem of a histopathological cancer …
The study here emphasizes on a classification problem of a histopathological cancer …
Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients
K Sengupta, PR Srivastava - BMC Medical Informatics and Decision …, 2021 - Springer
Background In medical diagnosis and clinical practice, diagnosing a disease early is crucial
for accurate treatment, lessening the stress on the healthcare system. In medical imaging …
for accurate treatment, lessening the stress on the healthcare system. In medical imaging …