| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 107 === In recent years, rapid development of artificial intelligence in all fields, such as Drones, Smart home or autonomous cars, brought significant convenience to people's lives. However, advances in medical imaging techniques have completely changed the diagnosis method of medical images. Through the development of this technology, all traditional medical images gradually evolved from manual interpretation to digital assisting-interpretation. Therefore, the high development of artificial intelligence in medical field can not only assist physicians in disease diagnosis, but also boost the future development and innovation in medical field. Therefore, this study formed up a chest X-ray image classification model based on convolutional neural network. Actual chest X-ray images provided by Kaggle were used for modeling, testing and verifying the feasibility and effectiveness of the model constructed by this study. After verifying results in this study, the model in this study can provide an effective diagnostic technique for physicians in medical imaging diagnosis and expecting for more development of imaging technology in the medical field based on artificial intelligence.
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