Application of Image Processing Technology based on Deep Learning in Medical Imaging

In recent years, with the continuous development of artificial intelligence (AI), its application in medical imaging has expanded significantly, leading to remarkable advancements in the field. This paper focuses on a comprehensive review of deep learning based on image processing technology for medical imaging, emphasizing its critical role in diagnostic and therapeutic processes. By examining the interdependency between medical imaging technology and diagnostic workflows, the application of deep learning image processing in medical imaging of lung, bone and oral organs is discussed. And the significant advantages of this technology in image structure analysis, disease prediction and diagnosis, and treatment plan formulation are demonstrated. Studies have shown that medical imaging currently has problems such as low data standardization and insufficient model generalization. This requires relevant researchers to make unremitting efforts in strengthening data standardization construction and continuous optimization of models in the future, so that medical imaging can provide more powerful support for human health.