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Medical imaging technology can reinforce disease monitoring and detection facilities with the advancement of computer vision. Unfortunately, deep learning models are facing starvation of more generalized datasets as the data repositories of COVID-19 are not rich enough to provide significant distinct features. To address the limitation, this article describes the generation of synthetic images of COVID-19 along with other chest infections with distinct features by empirical top entropy-based patch selection approach using the generative adversarial network. After that, a diagnosis is performed through a faster region-based convolutional neural network using 6,406 synthetic as well as 3,933 original chest X-ray images of different chest infections, which also addressed the data imbalance problems and not recumbent to a particular class. The experiment confirms a satisfactory COVID-19 diagnosis accuracy of 99.16% in a multi-class scenario.<\/jats:p>","DOI":"10.1145\/3520125","type":"journal-article","created":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T09:56:57Z","timestamp":1654682217000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["COVID-19 Along with Other Chest Infection Diagnoses Using Faster R-CNN and Generative Adversarial Network"],"prefix":"10.1145","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5905-6530","authenticated-orcid":false,"given":"Rafid","family":"Mostafiz","sequence":"first","affiliation":[{"name":"Institute of Information Technology, Noakhali Science and Technology University, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7184-2809","authenticated-orcid":false,"given":"Mohammad Shorif","family":"Uddin","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Jahangirnagar University, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5401-0437","authenticated-orcid":false,"given":"Khandaker Mohammad Mohi","family":"Uddin","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Dhaka International University, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Motiur","family":"Rahman","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,30]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01829-7"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-020-00865-4"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC51575.2020.9344870"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200463"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.03.011"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363547"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1147\/JRD.2017.2708299"},{"key":"e_1_3_1_9_2","first-page":"904103","volume-title":"Medical Imaging 2014: Digital Pathology","author":"Cruz-Roa Angel","year":"2014","unstructured":"Angel Cruz-Roa, Ajay Basavanhally, Fabio Gonz\u00e1lez, Hannah Gilmore, Michael Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, and Anant Madabhushi. 2014. 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