{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T10:22:51Z","timestamp":1783851771726,"version":"3.55.0"},"reference-count":88,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2022,2,26]],"date-time":"2022-02-26T00:00:00Z","timestamp":1645833600000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,2,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Despite the great efforts to find an effective way for coronavirus disease 2019 (COVID-19) prediction, the virus nature and mutation represent a critical challenge to diagnose the covered cases. However, developing a model to predict COVID-19 via chest X-ray images with accurate performance is necessary to help in early diagnosis. In this paper, a hybrid quantum-classical convolutional neural network (HQ-CNN) model using random quantum circuits as a base to detect COVID-19 patients with chest X-ray images is presented. A collection of 5445 chest X-ray images, including 1350 COVID-19, 1350 normal, 1345 viral pneumonia, and 1400 bacterial pneumonia images, were used to evaluate the HQ-CNN. The proposed HQ-CNN model has achieved higher performance with an accuracy of 98.6% and a recall of 99% on the first experiment (COVID-19 and normal cases). Besides, it obtained an accuracy of 98.2% and a recall of 99.5% on the second experiment (COVID-19 and viral pneumonia cases). Also, it obtained 98% and 98.8% for accuracy and recall, respectively, on the third dataset (COVID-19 and bacterial pneumonia cases). Lastly, it achieved accuracy and recall of 88.2% and 88.6%, respectively, on the multiclass dataset cases. Moreover, the HQ-CNN model is assessed with the statistical analysis (i.e. Cohen\u2019s Kappa and Matthew correlation coefficients). The experimental results revealed that the proposed HQ-CNN model is able to predict the positive COVID-19 cases.<\/jats:p>","DOI":"10.1093\/jcde\/qwac003","type":"journal-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T12:08:18Z","timestamp":1641816498000},"page":"343-363","source":"Crossref","is-referenced-by-count":114,"title":["Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images"],"prefix":"10.1093","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8127-7233","authenticated-orcid":false,"given":"Essam H","family":"Houssein","sequence":"first","affiliation":[{"name":"Faculty of Computers and Information, Minia University, Minia, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zainab","family":"Abohashima","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Nahda University, Beni Suef, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed","family":"Elhoseny","sequence":"additional","affiliation":[{"name":"University of Sharjah, Sharjah, United Arab Emirates"},{"name":"Faculty of Computers and Information, Mansoura University, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waleed M","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Information, Minia University, Minia, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"2022022608384827700_bib1","doi-asserted-by":"crossref","first-page":"2798\u00a0","DOI":"10.1109\/TNNLS.2021.3082015","article-title":"4S-DT: Self-supervised super sample decomposition for transfer learning with application to Covid-19 detection","volume":"32","author":"Abbas","year":"2021","journal-title":"IEEE Transactions on Neural Networks and Learning 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