Résumé:
The spread of the infectious disease "Covid-19" has disrupted health and the global
economy. There are several methods for the detection and diagnosis of this disease ;
however, these are time-consuming, not available in all facilities, and expensive for
the middle-class citizen. For this, researchers are trying to find a good alternative to
these methods.
In this context, computed tomography has paved the way for the detection of
COVID-19 by processing digital medical images using artificial intelligence techniques.
In this project we have adopted the techniques of deep learning and self-supervised
learning with the aim of building a system for detecting Covid-19 disease in CT
images of a suspected patient and locating the regions infected with the virus if the lat-
ter and sick. This system will allow us to facilitate the task of detecting and screening
for this disease and make them available to doctors or radiologists without making
any effort or wasting time.
