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首页> 外文期刊>Journal of Medical Imaging and Health Informatics >Intelligent Medical Informatics Management System Based on Pattern Recognition and Visual Multimedia: A Deep Learning Perspective
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Intelligent Medical Informatics Management System Based on Pattern Recognition and Visual Multimedia: A Deep Learning Perspective

机译:基于模式识别和视觉多媒体的智能医疗信息管理系统:深度学习视角

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摘要

With the continuous development of China's medical modernization technology, medical devices have been widely used in the prevention, diagnosis and treatment of diseases, and health care. The direct or indirect contact of medical devices with the human body is closely related to diagnosis, treatment and rehabilitation. As a result, the quality and safety problems of medical devices in the development of high-end, high-tech products have also increased. Establishing an effective quality management system for medical device production can effectively control the level of production quality management in medical devices and guarantee the quality of products. Therefore, the management of the quality of medical devices is a major task. The use of digital construction to manage scientific and technological archives can make the management of scientific and technological archives more standardized, automatic and professional. This is also a development trend of hospital science and technology archives management. In this paper, we use pattern recognition technology and multimedia vision technology to study the construction of medical technology management system. The deep learning is integrated to promote the overall performance of the proposed methodology. The simulation results have reflected the robustness.
机译:随着中国医疗现代化技术的不断发展,医疗器械已广泛用于预防,诊断和治疗疾病,以及医疗保健。医疗器械与人体的直接或间接接触与诊断,治疗和康复密切相关。结果,医疗器械在高端发展中的质量和安全问题也增加了。建立有效的医疗器械生产管理体系可以有效地控制医疗设备的生产质量管理水平,并保证产品的质量。因此,医疗设备质量管理是一项主要任务。使用数字建设来管理科技档案可以使科技档案的管理更加标准化,自动和专业。这也是医院科技档案管理的发展趋势。本文采用了模式识别技术和多媒体视觉技术来研究医疗技术管理体系的构建。深入学习融合以促进提出的方法的整体性能。模拟结果反映了鲁棒性。

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