Title Page
ABSTRACT
국문 초록
Contents
NOMENCLATURE 12
CHAPTER 1. INTRODUCTION 13
CHAPTER 2. MATERIALS AND METHODS 15
2.1. Dataset preparation 15
2.2. Model training 17
2.3. Evaluation 18
CHAPTER 3. RESULTS 20
3.1. Characteristics of the training and test datasets 20
3.2. Performance of the AI model in identifying radiographs with rib fractures 22
3.3. Performance of the AI model in marking rib fracture lesions 24
CHAPTER 4. DISCUSSION 25
CHAPTER 5. CONCLUSION 29
REFERENCES 30
Table 1. Patient information and rib fracture characteristics from training and test datasets 20
Table 2. Performance of the artificial intelligence (AI) model in distinguishing the presence or absence of rib fractures in radiographs of testing data 22
Figure 1. Study flowchart for the development and evaluation of an artificial intelligence model for rib fracture detection and localization on chest radiographs.... 15
Figure 2. Labeling rib fractures (A) Annotated rib fractures placed in the middle of bounding box using Visual Geometry Group... 16
Figure 3. Executable program (A) The initial interface of the program, designed to be conveniently executable in a clinical setting.... 18
Figure 4. Detection and marking performance of artificial intelligence for rib fractures on chest radiographs according to different machine learning iterations.... 23