{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T21:31:14Z","timestamp":1757453474556,"version":"3.40.5"},"reference-count":0,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,1]]},"abstract":"<p>Early and automatic segmentation of lung infections from computed tomography images of COVID-19 patients is crucial for timely quarantine and effective treatment. However, automating the segmentation of lung infection from CT slices is challenging due to a lack of contrast between the normal and infected tissues. A CNN and GAN-based framework are presented to classify and then segment the lung infections automatically from COVID-19 lung CT slices. In this work, the authors propose a novel method named P2P-COVID-SEG to automatically classify COVID-19 and normal CT images and then segment COVID-19 lung infections from CT images using GAN. The proposed model outperformed the existing classification models with an accuracy of 98.10%.  The segmentation results outperformed existing methods and achieved infection segmentation with accurate boundaries. The Dice coefficient achieved using GAN segmentation is 81.11%. The segmentation results demonstrate that the proposed model outperforms the existing models and achieves state-of-the-art performance.<\/p>","DOI":"10.4018\/ijdwm.2021100105","type":"journal-article","created":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T13:11:09Z","timestamp":1633698669000},"page":"101-118","source":"Crossref","is-referenced-by-count":12,"title":["P2P-COVID-GAN"],"prefix":"10.4018","volume":"17","author":[{"given":"Nandhini","family":"Abirami","sequence":"first","affiliation":[{"name":"Vellore Institute of Technology, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7598-1363","authenticated-orcid":true,"given":"Durai Raj","family":"Vincent","sequence":"additional","affiliation":[{"name":"Vellore Institute of Technology, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1939-4842","authenticated-orcid":true,"given":"Seifedine","family":"Kadry","sequence":"additional","affiliation":[{"name":"Noroff University College, Norway"}]}],"member":"2432","container-title":["International Journal of Data Warehousing and Mining"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=290272","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T23:47:18Z","timestamp":1651880838000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJDWM.2021100105"}},"subtitle":["Classification and Segmentation of COVID-19 Lung Infections From CT Images Using GAN"],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,10]]}},"URL":"https:\/\/doi.org\/10.4018\/ijdwm.2021100105","relation":{},"ISSN":["1548-3924","1548-3932"],"issn-type":[{"type":"print","value":"1548-3924"},{"type":"electronic","value":"1548-3932"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}