Version 1
: Received: 22 June 2024 / Approved: 23 June 2024 / Online: 24 June 2024 (08:03:52 CEST)
How to cite:
Rodriguez, R.; Leon, A.; Brito, L.; Carrasco, R. An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine. Preprints2024, 2024061626. https://doi.org/10.20944/preprints202406.1626.v1
Rodriguez, R.; Leon, A.; Brito, L.; Carrasco, R. An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine. Preprints 2024, 2024061626. https://doi.org/10.20944/preprints202406.1626.v1
Rodriguez, R.; Leon, A.; Brito, L.; Carrasco, R. An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine. Preprints2024, 2024061626. https://doi.org/10.20944/preprints202406.1626.v1
APA Style
Rodriguez, R., Leon, A., Brito, L., & Carrasco, R. (2024). An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine. Preprints. https://doi.org/10.20944/preprints202406.1626.v1
Chicago/Turabian Style
Rodriguez, R., Laura Brito and Rocío Carrasco. 2024 "An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine" Preprints. https://doi.org/10.20944/preprints202406.1626.v1
Abstract
COVID-19 was a terrible worldwide pandemic that caused a global public health crisis, with numerous deaths and a severe economic depression. To suppress the spread of COVID-19 and initiate patient isolation and contact tracing to reduce its effect, early diagnosis was required, with real-time reverse transcriptase polymerase chain reaction (RT-PCR) swab test being the most widely used. However, the RT-PCR test was sometimes found to be lengthy and inaccurate and; for that reason, in many cases of severe complications of COVID-19 pneumonia, chest screening with radiography imaging was preferred. In this paper, we carried out a study for COVID-19 detection from computed tomography images, and compared the obtained results using deep learning (DL) and support vector machine (SVM). The findings showed that, despite the excellent results shown by deep learning, the accuracy in predicting COVID-19 using SVM, in the presence of small databases, was slightly higher than DL. The execution time using SVM was also shorter
Keywords
Deep learning; supervised learning; convolutional neural networks; support vector machines; training; neural network architectures
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
