TY  - JOUR
T1  - Analysis of Covid-19 Based on Deep Learning
AU - Soesanti, Indah 
JO  - Journal of Engineering and Applied Sciences
VL  - 16
IS  - 2
SP  - 94
EP  - 102
PY  - 2021
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2021.94.102
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2021.94.102
KW  - Covid-19
KW  -analysis
KW  -deep learning
KW  -CT
KW  -ResNet
AB  - 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.
ER  -