1 INTRODUCTION

2 DISEASE DIAGNOSIS
2.1 General Structures of Deep Learning Models Used for Disease Diagnosis
2.2 Incorporating Knowledge from Natural Datasets or Other Medical Datasets
2.3 Incorporating Knowledge from Medical Doctors
2.4 Summary

3 LESION, ORGAN, AND ABNORMALITY DETECTION
3.1 General Structures of Deep Learning Models for Object Detection in Medical Images
3.2 Incorporating Knowledge from Natural Datasets or Other Medical Datasets
3.3 Incorporating Knowledge from Medical Doctors
3.4 Summary

4 LESION AND ORGAN SEGMENTATION
4.1 General Structures of Deep Learning Models for Object Segmentation in Medical Images
4.2 Incorporating Knowledge from Natural Datasets or Other Medical Datasets
4.3 Incorporating Knowledge from Medical Doctors
4.4 Summary

5 OTHER MEDICAL APPLICATIONS
5.1 Medical Image Reconstruction
5.2 Medical Image Retrieval
5.3 Medical Report Generation

6 RESEARCH CHALLENGES AND FUTURE DIRECTIONS
6.1 The Challenges Related to the Identification and Selection of Medical Domain Knowledge
6.2 The Challenges Related to the Representation of Medical Domain Knowledge
6.3 The Challenges Related to the Incorporating Methods of Medical Domain Knowledge
6.4 Future Research Directions

7 CONCLUSION