Deep Learning-Based Web Application for the Detection of COVID-19 from Chest CT-Scan Images

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Outline:

Chapter 1
Medical Context
1.1 Introduction
1.2 Anatomy of human lung
1.2.1 Human Lung
1.2.2 Components and Functions
1.3 Covid-19 disease
1.3.1 Classification and Taxonomy
1.3.2 Physiocochemical properties of the virus
1.3.3 Transmission
1.3.4 People at risk
1.3.5 What are Covid-19 symptoms?
1.3.6 SARS-CoV-2 in a nutshell :
1.3.7 Diagnosis of Covid-19
1.3.8 Imaging methods
1.3.9 The role of imaging to detect Covid-19
1.4 Conclusion
Chapter 2
2.1 Introduction
State of the art of classification of Covid-19
2.2 Artificial Intelligence
2.3 Deep Learning
2.3.1 Definition
2.3.2 Architectures of Deep Networks
2.3.3 Contribution of Deep Learning
2.4 Classification of Covid-19
2.4.1 Classification
2.5 Related works
2.6 Conclusion
Chapter 3
Proposed application
3.1 Introduction
3.2 Conception and Modeling
3.2.1 Used tools
3.2.2 UML
3.3 Methodology and Results
3.3.1 Dataset
3.3.2 CNN Classification
3.4 Application.
3.5 Conclusion
Conclusion and Perspectives
Bibliography

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