Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis
Abstract
:1. Introduction
1.1. Literature Review
1.1.1. Federated Learning and Medical Diagnosis
1.1.2. Artificial Intelligence and Liver Disease
1.1.3. Quantum Security and Privacy
1.1.4. Quantum Computation and Machine Learning
1.1.5. Quantum Machine Learning and Medicine
2. Materials and Methods
2.1. Non-Alcoholic Fatty Liver Disease (NAFLD)
2.2. Dataset
2.3. Quantum Machine Learning
2.4. Federated Learning
3. Results
3.1. Hybrid Quantum Image Classification
3.2. Federated Learning for Medical Privacy
4. Discussion
4.1. Future Works
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
CNN | Convolutional Neural Network |
QML | Quantum Machine Learning |
HQNN | Hybrid Quantum Neural Network |
FL | Federated Learning |
GDPR | General Data Protection Regulation |
NAFLD | Non-alcoholic Fatty Liver Disease |
NASH | Non-Alcoholic Steatohepatitis |
NAS NAFLD | Activity Score |
FHE Fully | Homomorphic Encryption |
SMPC | Secure Multi-Party computation |
QDI | Quantum Depth-Infused |
NISQ | Noisy Intermediate-Scale Quantum |
UCIE | Universal Chiplet Interconnect Express |
WDM | Wavelength Division Multiplexing |
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Steatosis Percentage | Steatosis Grade |
---|---|
<5% | 0 |
5–33 % | 1 |
33–66% | 2 |
>66 % | 3 |
Samples per Client | 4 Clients | 8 Clients | 16 Clients | 32 Clients |
---|---|---|---|---|
50 | 57.67 ± 3.84 | 57.61 ± 10.37 | 0.5 ± 0.0 | |
100 | 82.61 ± 4.30 | 86.91 ± 3.33 | 85.35 ± 3.91 | 88.88 ± 3.87 |
150 | 90.39 ± 0.63 | |||
250 | 91.28 ± 2.57 | 92.21 ± 1.35 | 93.24 ± 1.65 | |
500 | 94.05 ± 1.17 | 93.63 ± 0.44 | ||
750 | 92.98 ± 1.79 | |||
1000 | 92.04 ± 0.99 |
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Lusnig, L.; Sagingalieva, A.; Surmach, M.; Protasevich, T.; Michiu, O.; McLoughlin, J.; Mansell, C.; de’ Petris, G.; Bonazza, D.; Zanconati, F.; et al. Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis. Diagnostics 2024, 14, 558. https://doi.org/10.3390/diagnostics14050558
Lusnig L, Sagingalieva A, Surmach M, Protasevich T, Michiu O, McLoughlin J, Mansell C, de’ Petris G, Bonazza D, Zanconati F, et al. Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis. Diagnostics. 2024; 14(5):558. https://doi.org/10.3390/diagnostics14050558
Chicago/Turabian StyleLusnig, Luca, Asel Sagingalieva, Mikhail Surmach, Tatjana Protasevich, Ovidiu Michiu, Joseph McLoughlin, Christopher Mansell, Graziano de’ Petris, Deborah Bonazza, Fabrizio Zanconati, and et al. 2024. "Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis" Diagnostics 14, no. 5: 558. https://doi.org/10.3390/diagnostics14050558