The use of smart technology in all fields of our life is increasing every day depending on technological developments, especially artificial intelligence, from those fields which developed based on artificial intelligence is the health field. In this study, we developed a deep learning-based experimental system for automated detection of Covide-19 pandemic, Viral Pneumonia, and Normal lung health. Four different deep learning are employed. The highest results rate is achieved by using the ResNet 50+TL+KFCV algorithm with a rate of 97. 4% accuracy. This system can detect/recognize Covide-19 automatically and rapidly, and hence our proposed system will be helpful for the Doktors and scientists that study in practice.
For future projects, we plan to expand this research to connect directly with the large data in hospitals by using the internet of things.
The
use
of smart technology in all fields of our life is increasing every day depending on technological developments,
especially
artificial intelligence, from those fields which developed based on artificial intelligence is the health field. In this study, we developed a deep learning-based experimental system for automated detection of Covide-19 pandemic, Viral Pneumonia, and Normal lung health. Four
different
deep learning
are employed
. The highest results rate
is achieved
by using the
ResNet
50+TL+
KFCV
algorithm with a rate of 97. 4% accuracy. This system can detect/recognize Covide-19
automatically
and
rapidly
, and
hence
our proposed system will be helpful for the
Doktors
and scientists that study in practice.
For future projects, we plan to expand this research to connect
directly
with the large data in hospitals by using the internet of things.
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