{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T03:51:36Z","timestamp":1761709896776,"version":"3.41.2"},"reference-count":35,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T00:00:00Z","timestamp":1623974400000},"content-version":"vor","delay-in-days":168,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2019JJ80105"],"award-info":[{"award-number":["2019JJ80105"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>COVID\u201019 is a respiratory disease caused by severe acute respiratory syndrome coronavirus (SARS\u2010CoV\u20102). Due to the rapid spread of COVID\u201019 around the world, the number of COVID\u201019 cases continues to increase, and lots of countries are facing tremendous pressure on both public and medical resources. Although RT\u2010PCR is the most widely used detection technology with COVID\u201019 detection, it still has some limitations, such as high cost, being time\u2010consuming, and having low sensitivity. According to the characteristics of chest X\u2010ray (CXR) images, we design the Parallel Channel Attention Feature Fusion Module (PCAF), as well as a new structure of convolutional neural network MCFF\u2010Net proposed based on PCAF. In order to improve the recognition efficiency, the network adopts 3 classifiers: 1\u2010FC, GAP\u2010FC, and Conv1\u2010GAP. The experimental results show that the overall accuracy of MCFF\u2010Net66\u2010Conv1\u2010GAP model is 94.66% for 4\u2010class classification. Simultaneously, the classification accuracy, precision, sensitivity, specificity, and F1\u2010score of COVID\u201019 are 100%. MCFF\u2010Net may not only assist clinicians in making appropriate decisions for COVID\u201019 diagnosis but also mitigate the lack of testing kits.<\/jats:p>","DOI":"10.1155\/2021\/3604900","type":"journal-article","created":{"date-parts":[[2021,6,19]],"date-time":"2021-06-19T00:05:06Z","timestamp":1624061106000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Detecting COVID\u201019 in Chest X\u2010Ray Images via MCFF\u2010Net"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2298-3429","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3428-4262","authenticated-orcid":false,"given":"Yutao","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5990-8396","authenticated-orcid":false,"given":"Ji","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0795-8310","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2386-5405","authenticated-orcid":false,"given":"Xin","family":"Wang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,6,18]]},"reference":[{"volume-title":"WHO Updates on COVID-19","year":"2020","author":"World Health Organization","key":"e_1_2_10_1_2"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200490"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200527"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.20.22976"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.20.22954"},{"volume-title":"Use of Chest Imaging in COVID-19: A Rapid Advice Guide, 11 June 2020","year":"2020","author":"World Health Organization","key":"e_1_2_10_6_2"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00482-3"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/7602384"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.d.200910.001"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.d.201123.001"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.d.210518.001"},{"key":"e_1_2_10_12_2","doi-asserted-by":"crossref","unstructured":"HeK. 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