Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in December 2019. The disease can be detected by using Computed Tomography (CT) medical image analysis. The methods used for Covid-19 detection are based on Deep Learning. Deep Learning Model used are 3D ResNet34, VGG, AlexNet, VGG-16,VGG-19, SquezeeNet, GoogleNet, MobileNet-V2, ResNet-18, ResNet-50, ResNet-101 and Xception. The researchers use public datasets from patient data Covid-19 and Non-Covid-19. One of the researchers applies the methods for cross dataset. The results from the research show that Deep Learning has high performance and can solve the problem of Covid-19 image classification and Covid-19 detection.
How to cite this article:
Indah Soesanti. Analysis of Covid-19 Based on Deep Learning.
DOI: https://doi.org/10.36478/jeasci.2021.94.102
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2021.94.102