COVID-19 diagnosis prediction using classical-to-quantum ensemble model with transfer learning for CT scan images

References

• Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382:727–733.
   PubMed Web of Science ®Google Scholar
• Fahmi I. World health organization coronavirus disease 2019 (covid-19) situation report. DroneEmprit. 2019.
   Google Scholar
• Sohrabi C, Alsafi Z, O’neill N, et al. World health organization declares global emergency: a review of the 2019 novel coronavirus (covid-19). Int J Surg. 2020;76:71–76.
   PubMed Web of Science ®Google Scholar
• Shi Y, Wang G, Cai X-P, et al. An overview of covid-19. J Zhejiang Univ Sci B. 2020;21(5):343–360.
   PubMed Web of Science ®Google Scholar
• Post-covid-19 global health strategies: the need for an interdisciplinary approach. Aging Clin Exp Res. 2020;32(8):1613–1620.
   Google Scholar
• Lai C-C, Shih T-P, Ko W-C, et al. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease2019 (covid-19): The epidemic and the challenges. Int J Antimicrob Agents. 2020;55(3):105924.
   PubMed Web of Science ®Google Scholar
• Ai T, Yang Z, Hou H, et al. Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (covid-19) in China: a report of 1014 cases. Radiology. 2020;296(2):32–40.
   PubMed Web of Science ®Google Scholar
• Dashraath P, Wong JLJ, Lim MXK, et al. Coronavirus disease 2019 (covid-19) pandemic and pregnancy. Am J Obstet Gynecol. 2020;222(6):521–531.
   PubMed Web of Science ®Google Scholar
• Xie X, Zhong Z, Zhao W, et al. Chest CT for typical coronavirus disease 2019 (covid-19) pneumonia: relationship to negative RT-PCR testing. Radiology. 2020;296(2):41–45.
   PubMed Web of Science ®Google Scholar
• Beigel JH, Tomashek KM, Dodd LE, et al. Remdesivir for the treatment of covid-19. N Engl J Med. 2020;383(19):1813–1826.
   PubMed Web of Science ®Google Scholar
• Struyf T, Deeks JJ, Dinnes J, et al. Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has covid-19. Cochrane Database Syst Rev. 2022;5:1–342.
   Google Scholar
• Shen D, Wu G, Suk H-I. Deep learning in medical image analysis. Annu Rev Biomed Eng. 2017;19:221–248.
   PubMed Web of Science ®Google Scholar
• LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436–444.
   PubMed Web of Science ®Google Scholar
• Wang S, Zha Y, Li W, et al. A fully automatic deep learning system for covid-19 diagnostic and prognostic analysis. Eur Respir J. 2020;56(2):1–11.
   Web of Science ®Google Scholar
• Loey M, Manogaran G, Khalifa NEM. A deep transfer learning model with classical data augmentation and CGAN to detect covid-19 from chest CT radiography digital images. Neural Comput Appl. 2020:1–13.
   PubMed Web of Science ®Google Scholar
• Li C, Yang Y, Liang H, et al. Transfer learning for establishment of recognition of covid-19 on CT imaging using small-sized training datasets. Knowl Based Syst. 2021;218:106849.
   PubMed Web of Science ®Google Scholar
• Mahmoudi R, Benameur N, Mabrouk R, et al. A deep learning-based diagnosis system for covid-19 detection and pneumonia screening using CT imaging. Appl Sci. 2022;12(10):4825.
   Google Scholar
• Zhao C, Gao X-S. QDNN: DNN with quantum neural network layers. arXiv preprint arXiv:1912.12660 (2019).
   Google Scholar
• Benedetti M, Lloyd E, Sack S, et al. Parameterized quantum circuits as machine learning models. Quantum Sci Technol. 2019;4(4):043001.
   Web of Science ®Google Scholar
• Skolik A, McClean JR, Mohseni M, et al. Layerwise learning for quantum neural networks. Quantum Mach Intell. 2021;3(1):1–11.
   Google Scholar
• Bausch J. Recurrent quantum neural networks. Adv Neural Inf Process Syst. 2020;33:1368–1379.
   Google Scholar
• Li Y, Zhou R-G, Xu R, et al. A quantum deep convolutional neural network for image recognition. Quantum Sci Technol. 2020;5(4):044003.
   Web of Science ®Google Scholar
• Mittal S, Dana SK. Gender recognition from facial images using hybrid classical-quantum neural network. In: 2020 IEEE Students Conference on Engineering & Systems (SCES); 2020. IEEE. p. 1–6.
   Google Scholar
• Maghdid HS, Asaad AT, Ghafoor KZ, et al. Diagnosing covid-19 pneumonia from x-ray and CT images using deep learning and transfer learning algorithms. In: Multimodal Image Exploitation and Learning 2021, vol. 11734; 2021. International Society for Optics and Photonics. p. 117340.
   Google Scholar
• Jaiswal A, Gianchandani N, Singh D, et al. Classification of the covid-19 infected patients using DenseNet201 based deep transfer learning. J Biomol Struct Dyn. 2021;39(15):5682–5689.
   PubMed Web of Science ®Google Scholar
• Ko H, Chung H, Kang WS, et al. Covid-19 pneumonia diagnosis using a simple 2D deep learning framework with a single chest CT image: model development and validation. J Med Internet Res. 2020;22(6):19569.
   PubMed Web of Science ®Google Scholar
• Arora V, Ng EY-K, Leekha RS, et al. Transfer learning-based approach for detecting covid-19 ailment in lung CT scan. Comput Biol Med. 2021;135:104575.
   PubMed Web of Science ®Google Scholar
• Rehman A, Naz S, Khan A, et al. Improving coronavirus (covid-19) diagnosis using deep transfer learning. MedRxiv (2020).
   Google Scholar
• Singh M, Bansal S, Ahuja S, et al. Transfer learning–based ensemble support vector machine model for automated covid-19 detection using lung computerized tomography scan data. Med Biol Eng Comput. 2021;59(4):825–839.
   PubMed Web of Science ®Google Scholar
• Ahuja S, Panigrahi BK, Dey N, et al. Deep transfer learning-based automated detection of covid-19 from lung CT scan slices. Appl Intell. 2021;51(1):571–585.
   PubMed Web of Science ®Google Scholar
• Abdulkareem K H, Mostafa S A, Al-Qudsy Z N, et al. Automated system for identifying COVID-19 infections in computed tomography images using deep learning models. J Healthc Eng. 2022;2022:1–13.
   Web of Science ®Google Scholar
• Kairon P, Bhattacharyya S. COVID-19 outbreak prediction using quantum neural networks[M]//intelligence enabled research. Singapore: Springer; 2021. p. 113–123.
   Google Scholar
• Amin J, Sharif M, Gul N, et al. Quantum machine learning architecture for covid-19 classification based on synthetic data generation using conditional adversarial neural network. Cognit Comput. 2022;14:1677–1688.
   PubMed Web of Science ®Google Scholar
• Sengupta K, Srivastava PR. Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of covid-19 patients. BMC Med Inform Decis Mak. 2021;21(1):1–14.
   PubMed Web of Science ®Google Scholar
• Houssein EH, Abohashima Z, Elhoseny M, et al. Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images. 2021.
   Google Scholar
• Konar D, Panigrahi BK, Bhattacharyya S, et al. Auto-diagnosis of COVID-19 using lung CT images with semi-supervised shallow learning network. IEEE Access. 2021;9:28716–28728.
   Google Scholar
• Tao S. Deep neural network ensembles. In: International Conference on Machine Learning, Optimization, and Data Science. Springer; 2019. p. 1–12.
   Google Scholar
• Frazao X, Alexandre LA. Weighted convolutional neural network ensemble. In: Iberoamerican congress on pattern recognition. Springer; 2014. p. 674–681.
   Google Scholar
• Zhou T, Lu H, Yang Z, et al. The ensemble deep learning model for novel covid-19 on ct images. Appl Soft Comput. 2021;98:106885.
   PubMed Web of Science ®Google Scholar
• Berliana AU, Bustamam A. Implementation of stacking ensemble learning for classification of covid-19 using image dataset ct scan and lung x-ray. In: 2020 3rd International Conference on Information and Communications Technology (ICOIACT); 2020. IEEE. p. 148–152.
   Google Scholar
• Kundu R, Singh PK, Ferrara M, et al. Et-net: an ensemble of transfer learning models for prediction of covid-19 infection through chest CT-scan images. Multimed Tools Appl. 2022;81:31–50.
   PubMed Web of Science ®Google Scholar
• Mohammed MA, Al-Khateeb B, Yousif M, et al. Novel crow swarm optimization algorithm and selection approach for optimal deep learning covid-19 diagnostic model. Comput Intell Neurosci. 2022;2022:1–22.
   Web of Science ®Google Scholar
• Ibrahim DA, Zebari DA, Mohammed HJ, et al. Effective hybrid deep learning model for covid-19 patterns identification using CT images. Expert Syst. 2022;39:13010.
   Web of Science ®Google Scholar
• Deng X, Shao H, Shi L, et al. A classification–detection approach of covid-19 based on chest x-ray and CT by using keras pretrained deep learning models. Comput Model Eng Sci. 2020;125(2):579–596.
   Web of Science ®Google Scholar
• Mari A, Bromley TR, Izaac J, et al. Transfer learning in hybrid classical-quantum neural networks. Quantum. 2020;4:340.
   Web of Science ®Google Scholar
• Al-Dhabyani W, Gomaa M, Khaled H, et al. Dataset of breast ultrasound images. Data Brief. 2020;28:104863.
   PubMed Web of Science ®Google Scholar
• Cheng J. Brain tumor dataset. Figshare. Dataset. DOI:10.6084/m9.figshare.1512427.v5
   Google Scholar
• Nagi AT, Awan MJ, Mohammed MA, et al. Performance analysis for COVID-19 diagnosis using custom and state-of-the-art deep learning models. Appl Sci. 2022;12(13):6364.
   Google Scholar
• Shamim S, Awan MJ, Mohd Zain A, et al. Automatic COVID-19 lung infection segmentation through Modified Unet Model. J Healthc Eng. 2022;2022:1–13.
   Web of Science ®Google Scholar