An efficient COVID-19 detection from CT images using ensemble support vector machine with Ludo game-based swarm optimisation

ABSTRACT

Corona virus is considered as a viral disease activated from the severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) that leads to high illness and death globally. The reverse transcription polymerase chain reaction (RT-PCR) represents the standard test for the medical examination, but the test creates false negatives. In this paper, the ensemble Support vector machine with Ludo game-based swarm optimisation algorithm (ESLGSA) is proposed for the novel COVID-19 detection from the CT images and X-ray images. The proposed approach decreases the necessities of the physical labelling of the CT images and X-ray images. The proposed approach achieves the accurate infection recognition and separates the COVID-19 persons from the non-COVID-19 persons. The experimental results describes that the proposed approach enhances the accuracy value of 99.64% and the area under curve of 0.9257 in the detection of COVID-19 on CT image and X-ray image. The results described that the COVID-19 recognition using proposed approach in CT image and X-ray image is enhanced significantly than any other approaches. The results describes that the proposed approach outperforms the other approaches with respect to the measures such as accuracy, precision, recall and F-measure.

KEYWORDS:

• COVID-19 detection
• coronavirus
• chest CT images
• X-ray image
• SVM
• Ludo game swarm optimisation
• pneumonia
• image classification

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No potential conflict of interest was reported by the author(s).

Human and animal rights

This article does not contain any studies with human or animal subjects performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Additional information

Notes on contributors

Shiny Irene D

D. Shiny Irene She received her B.E degree in Computer Science and Engineering from Anna University in 2011 and M.E. degree in Computer Science and Engineering from Anna University in 2013 and Ph.D. from Anna University in 2021. She has 8 years of teaching experience in various Engineering Colleges. She is currently working as an Assistant Professor in the Department of Computer Science and Engineering, School of Computing at SRM Institute of Science and Technology, Kattankulathur Campus, Chennai, India. She has published more than 21 papers in various journals and Conferences. Her research interests include Knowledge based Systems, Neural Network, Data Mining and Machine Learning. She is a life member of the ISTE. Email: [email protected], [email protected]

J. Rene Beulah

J. Rene Beulah is an Assistant Professor in the Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India. She received her B.E. in Computer Science and Engineering from Manonmaniam Sundaranar University, Tirunelveli, India in 2004 and M.E. in Computer Science and Engineering from Anna University, Chennai, India in 2006. She was awarded Ph.D. in the Faculty of Information and Communication Engineering from Anna University, Chennai in 2018. She has 7 years of teaching and 4 years of research experience. Her research interest includes Network Security and Data Mining. Email: [email protected]

Anitha K.

K. Anitha received the M.E. degree in Computer Science and Engineering from Anna University, Chennai in 2007. She has completed her Ph.D. in Information and Communication Engineering at Anna University Chennai during the year 2017 and is an Associate Professor in Computer Science and Engineering at Saveetha School of Engineering, Chennai. Her research interests include Image Retrieval, Pattern Recognition and Machine Learning. She has published 13 papers in International journals and conferences. Email: [email protected]

Kannan K.

K. Kannan received his Bachelor of Engineering (B.E) from the Department of Electronics and Communication Engineering, Jayaram College of Engineering and Technology, Bharathidhasan University, Trichy India in 1999. He obtained his M.E. (Master of Engineering) in the stream of Optical Communication from Department of Electronics and Communication Engineering, AlagappaChettiar College of Engineering and Technology (ACCET), Karaikudi, Anna University, Chennai, India in 2005.He obtained Ph.D. in the area of Vehicular Ad - Hoc networks in Anna University, Chennai during 2019. He is currently working as Associate professor in R.M.K College of Engineering and Technology, Puduvoyal, Chennai. He has 14 years of teaching experience from various engineering colleges and 4 years of industrial experience. He is life member of ISTE, IAENG and IET. He has international Journal publications, international Conference papers and national conference papers to his credit. His area of interest is communication networks, optical communication and signal processing. His research focuses are on the areas of communication networks and mobile AD-HOC networks. Email: [email protected]