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Earlier studies have focused on the development of Artificial Intelligence (AI) techniques using X-ray images on COVID-19 diagnosis. This paper aims to develop a Deep Learning Based MultiModal Fusion technique called DLMMF for COVID-19 diagnosis and classification from Computed Tomography (CT) images. The proposed DLMMF model operates on three main processes namely Weiner Filtering (WF) based pre-processing, feature extraction and classification. The proposed model incorporates the fusion of deep features using VGG16 and Inception v4 models. Finally, Gaussian Na\u00efve Bayes (GNB) based classifier is applied for identifying and classifying the test CT images into distinct class labels. The experimental validation of the DLMMF model takes place using open-source COVID-CT dataset, which comprises a total of 760 CT images. The experimental outcome defined the superior performance with the maximum sensitivity of 96.53%, specificity of 95.81%, accuracy of 96.81% and F-score of 96.73%.<\/jats:p>","DOI":"10.1177\/1063293x211021435","type":"journal-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T07:40:29Z","timestamp":1623224429000},"page":"116-127","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5502-9279","authenticated-orcid":false,"given":"RT","family":"Subhalakshmi","sequence":"first","affiliation":[{"name":"Department of Information Technology, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4117-3253","authenticated-orcid":false,"given":"S Appavu alias","family":"Balamurugan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5972-6349","authenticated-orcid":false,"given":"S","family":"Sasikala","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Velammal College of Engineering and Technology, Madurai, Tamil Nadu, India"}]}],"member":"179","published-online":{"date-parts":[[2021,6,9]]},"reference":[{"key":"bibr1-1063293X211021435","doi-asserted-by":"crossref","unstructured":"Amyar A, Modzelewski R, Ruan S (2020) Multi-task deep learning based CT imaging analysis for COVID-19: Classification and segmentation. medRxiv.","DOI":"10.1101\/2020.04.16.20064709"},{"key":"bibr2-1063293X211021435","doi-asserted-by":"publisher","DOI":"10.1007\/11925231_23"},{"key":"bibr3-1063293X211021435","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2020.02.006"},{"key":"bibr4-1063293X211021435","doi-asserted-by":"publisher","DOI":"10.1016\/j.clindermatol.2020.03.012"},{"key":"bibr5-1063293X211021435","unstructured":"Elsevier (2020) Novel Coronavirus Information Center. 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