The application of charged particles in electromagnetic motion has always been a hot issue. This is because these studies are of great value both in terms of basic research and practical applications. Cyclotron accelerators, the interaction between charged particles and plasma, magnetron sputtering equipment are all applications of charged particles in electromagnetic motion. The study of charged particles in electromagnetic motion has significant value in both basic and practical applications. In basic research, a deeper understanding of the internal physical properties of the plasma can be obtained, including the atomic physics and the polarization behavior of the plasma. In practical applications, these studies can be used for plasma diagnosis, neutral beam heating, magnetic confinement fusion plasma, plasma lens, heavy ion beam driving to produce high-energy and high-density materials or inertial confinement fusion, and plasma technology is used to design future accelerators, which is widely used.

With the progress of science and technology, multidisciplinary integration has become a prominent feature and an important way for the development and progress of modern science. As an important technology in medical research and clinical medicine, image processing technology integrates many new technologies in computer science, biomedicine, and physics. It has become one of the fastest growing technologies in medical technology in recent 20 years. The application of computer image processing technology in medical diagnosis and treatment has dramatically improved the quality of diagnosis and treatment, which has become one of the prominent research topics today. Emergency medicine is a discipline that studies the theory and practice of all critical diseases. Compared with other traditional clinical disciplines, emergency medicine has four distinct characteristics, that is, strong timeliness, complex illness, strong social attributes, and high technical content. With the increasingly tense medical resources, the application of image processing technology in emergency medicine can effectively improve the efficiency of medical treatment and the satisfaction of patients. The application of image processing technology in emergency medicine includes image segmentation technology, medical image registration, and medical image fusion technology in emergency medicine.

This Special Issue focuses on the application of image processing technology in emergency medicine, such as the theoretical study of image segmentation technology in emergency medicine, such as the theoretical research of image segmentation technology in emergency medicine, and the application research of medical image registration and medical image fusion technology in emergency medicine. The Special Issue aims to provide a technical exchange platform for researchers on the application of image processing technology in emergency medicine and accelerate the development of image processing technology in emergency medicine. We welcome original research and review articles from researchers and practitioners in industrial and academic circles.

Potential topics include but are not limited to the following:

• Application of image segmentation technology in emergency medicine
• Application of medical Image registration in emergency medicine
• Application of medical image fusion in emergency medicine
• Accelerating the development of image processing technology in emergency medicine
• Emerging computational intelligence technology in clinical imaging process and analysis
• Joint learning technology of medical image processing in Internet of Things (IoT) environment
• Intelligent solutions in electronic medical services
• Telemedicine in medical communication services
• Application of image processing technology in the diagnosis of sports injuries
• Computer-aided imaging in healthcare and advanced deep learning in the medical Internet of Things (IoT)
• Digital image processing using deep learning in biomedical engineering
• Multimodal imaging analysis of deep learning in biomedical engineering