{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T00:36:27Z","timestamp":1768350987554,"version":"3.49.0"},"reference-count":50,"publisher":"Informa UK Limited","issue":"3","funder":[{"name":"Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia","award":["IF2\/PSAU\/2022\/03\/23088"],"award-info":[{"award-number":["IF2\/PSAU\/2022\/03\/23088"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Cybernetics and Systems"],"published-print":{"date-parts":[[2024,4,2]]},"DOI":"10.1080\/01969722.2022.2162736","type":"journal-article","created":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T15:32:30Z","timestamp":1672414350000},"page":"634-653","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":23,"title":["ViT-TB: Ensemble Learning Based ViT Model for Tuberculosis Recognition"],"prefix":"10.1080","volume":"55","author":[{"given":"Lassaad Ben","family":"Ammar","sequence":"first","affiliation":[{"name":"College of Sciences and Humanities, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"}]},{"given":"Karim","family":"Gasmi","sequence":"additional","affiliation":[{"name":"Department of computer science, college of arts and sciences at Tabarjal, Jouf University, Jouf, Saudi Arabia"}]},{"given":"Ibtihel Ben","family":"Ltaifa","sequence":"additional","affiliation":[{"name":"STIH, Sorbonne University, Paris, France"}]}],"member":"301","published-online":{"date-parts":[[2022,12,30]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06352-5"},{"key":"e_1_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-020-00966-0"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CHASE.2016.18"},{"key":"e_1_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijid.2021.02.107"},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113514"},{"issue":"4","key":"e_1_3_2_8_1","first-page":"102","article-title":"Multi-level image enhancement for pulmonary tuberculosis analysis","volume":"1","author":"Chandrika V.","year":"2012","unstructured":"Chandrika, V., and P. Bhaskar. 2012. Multi-level image enhancement for pulmonary tuberculosis analysis. International Journal of Science and Applied Information Technology 1 (4):102\u20136.","journal-title":"International Journal of Science and Applied Information Technology"},{"key":"e_1_3_2_9_1","unstructured":"Devlin J. M.-W. Chang K. Lee and K. Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805"},{"key":"e_1_3_2_10_1","unstructured":"Dosovitskiy A. L. Beyer A. Kolesnikov D. Weissenborn X. Zhai T. Unterthiner M. Dehghani M. Minderer G. Heigold S. Gelly et\u00a0al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929"},{"key":"e_1_3_2_11_1","unstructured":"Ghorakavi R. S. 2019. TBNet: Pulmonary tuberculosis diagnosing system using deep neural networks. arXiv preprint arXiv:1902.08897"},{"key":"e_1_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph16020250"},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.11591\/ijai.v8.i4.pp429-435"},{"key":"e_1_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-07984-5"},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1093\/cid\/ciy967"},{"key":"e_1_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.2216198"},{"issue":"6","key":"e_1_3_2_17_1","first-page":"475","article-title":"Two public chest X-ray datasets for computer-aided screening of pulmonary diseases","volume":"4","author":"Jaeger S.","year":"2014","unstructured":"Jaeger, S., S. Candemir, S. Antani, Y.-X J. W\u00e1ng, P.-X. Lu, and G. Thoma. 2014. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. Quantitative Imaging in Medicine and Surgery 4 (6):475\u20137.","journal-title":"Quantitative Imaging in Medicine and Surgery"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-018-1857-9"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2284099"},{"key":"e_1_3_2_20_1","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"Krizhevsky A.","year":"2012","unstructured":"Krizhevsky, A., I. Sutskever, and G. E. Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems, vol. 25.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"e_1_3_2_22_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017162326"},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00272"},{"key":"e_1_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296695"},{"key":"e_1_3_2_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.08.001"},{"key":"e_1_3_2_26_1","article-title":"Coordinated expression of tyro3, axl, and mer receptors in macrophage ontogeny","volume":"3","author":"Malawista A.","year":"2016","unstructured":"Malawista, A., X. Wang, M. Trentalange, H. G. Allore, and R. R. Mont-Gomery. 2016. Coordinated expression of tyro3, axl, and mer receptors in macrophage ontogeny. Macrophage 3:e1261.","journal-title":"Macrophage"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.18517\/ijaseit.9.1.7567"},{"key":"e_1_3_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900045"},{"key":"e_1_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICT.2019.8798798"},{"key":"e_1_3_2_30_1","first-page":"4055","volume-title":"International Conference on Machine Learning","author":"Parmar N.","year":"2018","unstructured":"Parmar, N., A. Vaswani, J. Uszkoreit, L. Kaiser, N. Shazeer, A. Ku, and D. Tran. 2018. Image transformer. In International Conference on Machine Learning, 4055\u201364. PMLR."},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-42557-4"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocv032"},{"key":"e_1_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-1476-8_8"},{"key":"e_1_3_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.8768883"},{"key":"e_1_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2020.e04614"},{"key":"e_1_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-021-00671-5"},{"key":"e_1_3_2_37_1","first-page":"453","volume-title":"International Conference on Advanced Network Technologies and Intelligent Computing","author":"Sharma A.","year":"2021","unstructured":"Sharma, A., and P. K. Mishra. 2021. Deep learning approaches for automated diagnosis of COVID-19 using imbalanced training CXR data. In International Conference on Advanced Network Technologies and Intelligent Computing, 453\u201372. Springer."},{"key":"e_1_3_2_38_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"e_1_3_2_39_1","unstructured":"Simonyan K. and A. Zisserman. 2014. Very deep convolutional networks for largescale image recognition. arXiv preprint arXiv:1409.1556"},{"key":"e_1_3_2_40_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.2293140"},{"key":"e_1_3_2_41_1","unstructured":"Steiner A. A. Kolesnikov X. Zhai et\u00a0al. 2021. How to train your vit? Data augmentation and regularization in vision transformers. arXiv preprint arXiv:2106.10270"},{"key":"e_1_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-0991-9"},{"key":"e_1_3_2_43_1","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Vaswani A.","year":"2017","unstructured":"Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems, vol. 30."},{"key":"e_1_3_2_44_1","doi-asserted-by":"publisher","DOI":"10.3390\/app10175749"},{"key":"e_1_3_2_45_1","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9205082"},{"key":"e_1_3_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621525"},{"key":"e_1_3_2_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-08365-z"},{"key":"e_1_3_2_48_1","doi-asserted-by":"publisher","DOI":"10.1177\/2057047320950636"},{"key":"e_1_3_2_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_5"},{"key":"e_1_3_2_50_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12030709"},{"key":"e_1_3_2_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.phpro.2012.03.133"}],"container-title":["Cybernetics and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/01969722.2022.2162736","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T08:30:53Z","timestamp":1707208253000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/01969722.2022.2162736"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,30]]},"references-count":50,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,4,2]]}},"alternative-id":["10.1080\/01969722.2022.2162736"],"URL":"https:\/\/doi.org\/10.1080\/01969722.2022.2162736","relation":{},"ISSN":["0196-9722","1087-6553"],"issn-type":[{"value":"0196-9722","type":"print"},{"value":"1087-6553","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,30]]},"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=ucbs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucbs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2022-12-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}