@article{MAKHILLJEAS202116219518,
    title = {Analysis of Covid-19 Based on Deep Learning},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {16},
    number = {2},
    pages = {94-102},
    year = {2021},
    issn = {1816-949x},
    doi = {jeasci.2021.94.102},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2021.94.102},
    author = {Indah},
    keywords = {Covid-19,analysis,deep learning,CT,ResNet},
    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.}
    }