Through visual research on the current situation and development trends of China's industrial software industry explore its research hotspots and future directions. A total of 1812 articles were searched on China National Knowledge Infrastructure (CNKI) from January 2003 to November 2023 with the theme of "industrial software". Draw and analyze knowledge graphs of literature keywords through VOSviewer and Citespace. The results show that the current research hotspots in industrial software are concentrated in areas such as industrial internet, intelligent manufacturing, and digital twins. In recent years, there has been a high level of research on industrial software, and the field of industrial software in China may achieve considerable development.
In the era of big data, electronic health records contain a lot of information that can be used, diagnosed, predicted and medicated, but also contain a lot of private information. Therefore, it has received attention from all sides. This paper takes the privacy protection of electronic health records as the main research object, and tries to find solutions to the privacy problems existing in the process of electronic health records management in China, hoping that it can provide some valuable references for the smooth development of electronic health records management in China. The main research content of this paper can be divided into three parts. Firstly, the definition of the basic concept of electronic health records and the clarification of its connotation and composition. Second, the privacy risk analysis of electronic health records, mainly from the personnel level, technical level as well as the legal and management level to analyze the current state of privacy protection of electronic health records and its shortcomings in privacy protection in China. Third, the privacy protection of electronic health records, this part mainly proposes recommendations for improvement based on the problems existing in the privacy protection of electronic health records.
KEYWORDS: 3D image processing, Brain, Neuroimaging, 3D modeling, 3D image reconstruction, Augmented reality, Image processing, Medical imaging, Feature extraction, 3D displays
With the rapid development of information technology and the application of artificial intelligence technology in medical field, the latest computer technology has become a means to improve the level of medical diagnosis. Various medical imaging diagnostic devices, such as CT and MRI, can provide two-dimensional images of human body information. At present, doctors urgently need to accurately determine the spatial position, size, geometric shape of the lesion and the spatial relationship between the lesion and surrounding tissues. Therefore, it is very important to use computer technology to reconstruct human organs and display the lesion area in three-dimensional. At present, the results of automatic recognition and labeling of brain images are displayed in two-dimensional form, so it is necessary to use three-dimensional visualization technology to reconstruct them. In addition, some additional information can be superimposed on brain images for integrated display by combining virtual and real information. Augmented reality is the best technology to achieve the above requirements. This paper studies the process of feature extraction and three-dimensional reconstruction of brain image diseases. Combining with augmented reality business function, using DICOM file and Unity tool, a program of three-dimensional reconstruction and visualization of brain image features is designed to help doctors grasp the spatial information of brain quickly and intuitively.
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