{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:59:46Z","timestamp":1772557186956,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031708152","type":"print"},{"value":"9783031708169","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-70816-9_9","type":"book-chapter","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T16:02:28Z","timestamp":1725552148000},"page":"107-119","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["COVID-19 Detection Based on\u00a0Deep Features and\u00a0SVM"],"prefix":"10.1007","author":[{"given":"Mohamed Elamine","family":"Khoudour","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isma\u00efl","family":"Biskri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadia","family":"Ghazzali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"issue":"2","key":"9_CR1","doi-asserted-by":"publisher","first-page":"E32","DOI":"10.1148\/radiol.2020200642","volume":"296","author":"T Ai","year":"2020","unstructured":"Ai, T., et al.: Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology 296(2), E32\u2013E40 (2020)","journal-title":"Radiology"},{"key":"9_CR2","doi-asserted-by":"publisher","first-page":"4496488","DOI":"10.1155\/2021\/4496488","volume":"2021","author":"A Abougazia","year":"2021","unstructured":"Abougazia, A., et al.: Chest X-ray findings in COVID-19 patients presenting to primary care during the peak of the first wave of the pandemic in Qatar: their association with clinical and laboratory findings. Pulmonary Med. 2021, 4496488 (2021)","journal-title":"Pulmonary Med."},{"issue":"1","key":"9_CR3","first-page":"19","volume":"29","author":"\u00c7 Polat","year":"2021","unstructured":"Polat, \u00c7., et al.: COVID-19 diagnosis from chest X-ray images using transfer learning: enhanced performance by debiasing dataloader. J. X-ray Sci. Technol. 29(1), 19\u201336 (2021)","journal-title":"J. X-ray Sci. Technol."},{"issue":"17","key":"9_CR4","doi-asserted-by":"publisher","first-page":"5813","DOI":"10.3390\/s21175813","volume":"21","author":"M Umair","year":"2021","unstructured":"Umair, M., et al.: Detection of COVID-19 using transfer learning and grad-cam visualization on indigenously collected X-ray dataset. Sensors 21(17), 5813 (2021)","journal-title":"Sensors"},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s13246-020-00865-4","volume":"43","author":"ID Apostolopoulos","year":"2020","unstructured":"Apostolopoulos, I.D., Mpesiana, T.A.: Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks. Phys. Eng. Sci. Med. 43, 635\u2013640 (2020)","journal-title":"Phys. Eng. Sci. Med."},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Saiz, F., Barandiaran, I.: COVID-19 detection in chest X-ray images using a deep learning approach (2020)","DOI":"10.9781\/ijimai.2020.04.003"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"132665","DOI":"10.1109\/ACCESS.2020.3010287","volume":"8","author":"MEH Chowdhury","year":"2020","unstructured":"Chowdhury, M.E.H., et al.: Can AI help in screening viral and COVID-19 pneumonia? IEEE Access 8, 132665\u2013132676 (2020)","journal-title":"IEEE Access"},{"key":"9_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105581","volume":"196","author":"AI Khan","year":"2020","unstructured":"Khan, A.I., Shah, J.L., Bhat, M.M.: CoroNet: a deep neural network for detection and diagnosis of COVID-19 from chest x-ray images. Comput. Methods Prog. Biomed. 196, 105581 (2020)","journal-title":"Comput. Methods Prog. Biomed."},{"issue":"3","key":"9_CR9","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.3390\/ijerph20032035","volume":"20","author":"M Constantinou","year":"2023","unstructured":"Constantinou, M., et al.: COVID-19 classification on chest X-ray images using deep learning methods. Int. J. Environ. Res. Public Health 20(3), 2035 (2023)","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"1-2","key":"9_CR10","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10472-017-9538-x","volume":"81","author":"V Vapnik","year":"2017","unstructured":"Vapnik, V., Izmailov, R.: Knowledge transfer in SVM and neural networks. Ann. Math. Artif. Intell. 81(1\u20132), 3\u201319 (2017)","journal-title":"Ann. Math. Artif. Intell."},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Adams, T., et al.: Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM. In: FedCSIS (Communication Papers) (2018)","DOI":"10.15439\/2018F176"},{"key":"9_CR12","unstructured":"Benkadja, A., Biskri, I., Ghazzali, N.: Hybride CNN-SVM: vers une meilleure classification des donn6es manuscrites (2022)"},{"key":"9_CR13","first-page":"82","volume":"4","author":"J Serin","year":"2023","unstructured":"Serin, J., et al.: Gender classification from fingerprint using hybrid CNN-SVM. J. Artif. Intell. Technol. 4, 82\u201387 (2023)","journal-title":"J. Artif. Intell. Technol."},{"key":"9_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104319","volume":"132","author":"T Rahman","year":"2021","unstructured":"Rahman, T., et al.: Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Comput. Biol. Med. 132, 104319 (2021)","journal-title":"Comput. Biol. Med."}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70816-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T16:03:40Z","timestamp":1725552220000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70816-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031708152","9783031708169"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70816-9_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"28 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leipzig","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}