{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T23:06:42Z","timestamp":1747177602926,"version":"3.40.5"},"reference-count":46,"publisher":"Informa UK Limited","issue":"4","content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Experimental & Theoretical Artificial Intelligence"],"published-print":{"date-parts":[[2024,5,18]]},"DOI":"10.1080\/0952813x.2022.2093980","type":"journal-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T13:27:15Z","timestamp":1656595635000},"page":"563-583","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":4,"title":["A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey"],"prefix":"10.1080","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7583-980X","authenticated-orcid":false,"given":"H\u00fcseyin","family":"Ya\u015far","sequence":"first","affiliation":[{"name":"General Directorate of Health Investments, Ministry of Health of Republic of Turkey, Ankara, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6503-9668","authenticated-orcid":false,"given":"Murat","family":"Ceylan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2017-3166","authenticated-orcid":false,"given":"Hakan","family":"Cebeci","sequence":"additional","affiliation":[{"name":"Department of Radiology, Sel\u00e7uk University Faculty of Medicine, Konya, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6027-874X","authenticated-orcid":false,"given":"Abidin","family":"K\u0131l\u0131n\u00e7er","sequence":"additional","affiliation":[{"name":"Department of Radiology, Sel\u00e7uk University Faculty of Medicine, Konya, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1912-0200","authenticated-orcid":false,"given":"Fikret","family":"Kanat","sequence":"additional","affiliation":[{"name":"Department of Chest Diseases, Sel\u00e7uk University Faculty of Medicine, Konya, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7513-4968","authenticated-orcid":false,"given":"Mustafa","family":"Koplay","sequence":"additional","affiliation":[{"name":"Department of Radiology, Sel\u00e7uk University Faculty of Medicine, Konya, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2022,6,30]]},"reference":[{"key":"e_1_3_2_2_1","unstructured":"K. (2022). A COVID multiclass dataset of CT scans. https:\/\/www.kaggle.com\/plameneduardo\/a-covid-multiclass-dataset-of-ct-scans"},{"key":"e_1_3_2_3_1","unstructured":"M. (2022). trainingOptions. https:\/\/www.mathworks.com\/help\/deeplearning\/ref\/trainingoptions.html"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104037"},{"key":"e_1_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.1101\/2020.04.24.20078584"},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.3528204"},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.7937\/K9\/TCIA.2015.LO9QL9SX"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30211-7"},{"key":"e_1_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"e_1_3_2_11_1","doi-asserted-by":"crossref","unstructured":"Cohen J. P. Morrison P. Dao L. Roth K. Duong T. Q. & Ghassemi M. (2020). COVID-19 image data collection: Prospective predictions are the future. arXiv preprint arXiv:2006.11988. https:\/\/github.com\/ieee8023\/covid-chestxray-dataset","DOI":"10.59275\/j.melba.2020-48g7"},{"key":"e_1_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2996256"},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/e22050517"},{"key":"e_1_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005510"},{"key":"e_1_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18685-1"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.2196\/19569"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"e_1_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.20.23304"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2021.04.006"},{"key":"e_1_3_2_22_1","doi-asserted-by":"publisher","DOI":"10.2807\/1560-7917.ES.2020.25.10.2000180"},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijid.2020.03.020"},{"key":"e_1_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00067-4"},{"key":"e_1_3_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2020.3035935"},{"key":"e_1_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.1148\/ryct.2020200162"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcct.2020.08.013"},{"key":"e_1_3_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-020-10133-3"},{"key":"e_1_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3074893"},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3065361"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_34_1","first-page":"6105","volume-title":"International Conference on Machine Learning","author":"Tan M.","year":"2019","unstructured":"Tan, M., & Le, Q. (2019, May). Efficientnet: Rethinking model scaling for convolutional neural networks. In International Conference on Machine Learning (pp. 6105\u20136114). PMLR."},{"key":"e_1_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1111\/tmi.13383"},{"key":"e_1_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30185-9"},{"key":"e_1_3_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2994908"},{"key":"e_1_3_2_38_1","unstructured":"Wiki Cancer Imaging Archive. (2022). LIDC\u2013IDRI. https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/LIDC-IDRI"},{"key":"e_1_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.1177\/1535370220938315"},{"key":"e_1_3_2_40_1","unstructured":"World Health Organization (WHO). (2022). WHO Coronavirus (COVID-19) Dashboard. https:\/\/covid19.who.int\/"},{"key":"e_1_3_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3042837"},{"key":"e_1_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2020.04.010"},{"key":"e_1_3_2_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02019-1"},{"key":"e_1_3_2_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09894-3"},{"key":"e_1_3_2_45_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0250952"},{"key":"e_1_3_2_46_1","doi-asserted-by":"publisher","DOI":"10.1093\/cid\/ciaa247"},{"key":"e_1_3_2_47_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2003.13865"}],"container-title":["Journal of Experimental & Theoretical Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/0952813X.2022.2093980","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T23:00:22Z","timestamp":1711926022000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0952813X.2022.2093980"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,30]]},"references-count":46,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,5,18]]}},"alternative-id":["10.1080\/0952813X.2022.2093980"],"URL":"https:\/\/doi.org\/10.1080\/0952813x.2022.2093980","relation":{},"ISSN":["0952-813X","1362-3079"],"issn-type":[{"type":"print","value":"0952-813X"},{"type":"electronic","value":"1362-3079"}],"subject":[],"published":{"date-parts":[[2022,6,30]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-02-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-06-20","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-06-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}