Authors : Indah Soesanti
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.
Indah Soesanti , 2021. Analysis of Covid-19 Based on Deep Learning. Journal of Engineering and Applied Sciences, 16: 94-102.