1 INTRODUCTION

2 COVID-19 DATASET AND MEDICAL IMAGE MANIFESTATIONS  
2.1 CT Manifestations of COVID-19 and Resource Description  
2.2 X-ray Manifestations of COVID-19 and Resource Description  

3 IMAGE PREPROCESSING TECHNOLOGIES

4 IMAGE SEGMENTATION  
4.1 U-net Architecture  
4.2 Loss Function  

5 OVERALL ANALYSIS OF DL-BASED METHODS FOR COVID-19 DIAGNOSIS  
5.1 CNN Models for COVID-19 Diagnosis  
5.2 Transfer Learning for COVID-19 Diagnosis  
5.3 Ensemble Learning for COVID-19 Diagnosis  
5.4 GAN Model for COVID-19 Diagnosis  
5.5 LSTM Model for COVID-19 Diagnosis  

6 QUANTIFY THE SEVERITY OF COVID-19 PATIENTS

7 CHALLENGES AND FUTURE WORK  
7.1 Challenges  
7.2 Future Work  

8 CONCLUSION