摘要
对云原生架构在影像医学教育领域的应用进行了深入研究,旨在优化医学影像数据的存储、访问与分析模式,提升教学质量与效率;研究构建了一个高性能计算平台,该平台深度融合了云原生技术,支持大规模、多源异构影像数据的高效处理;平台设计采用了先进的微服务架构与开放的API接口,确保了系统的高度可扩展性和灵活性,有效推动了教学科研工作的自动化、智能化进程;实践证明,该云原生架构计算平台依靠其弹性、可扩展性和自动化管理能力,不仅可为医学生提供强大的工具,助力他们深入智能分析影像学数据,洞察数据背后的复杂机理,同时也可为医工交叉领域的教学与科研合作构筑坚实的技术桥梁。
The application of cloud-native architecture in the field of medical imaging education is investigated deeply,with the aim of optimizing the storage,access,and analysis mode of medical imaging data and enhancing the teaching quality and efficiency.This paper establishes a high-performance computing platform,which deeply integrates the cloud-native technology to support the efficient processing of large-scale,multi-source heterogeneous image data.The platform adopts an advanced microservice architecture and open API interface to guarantee the high scalability and flexibility of the system,and effectively promote the automation and intelligent process of teaching and research work.Practice has proved that the cloud-native architecture computing platform,with its flexibility,scalability and automated management capabilities,can not only help medical students analyze the imaging data and insight into the complex mechanism behind the data,but also build a solid technical bridge for teaching and scientific research cooperation in the cross-field of medical industry.
作者
曹志威
欧崇阳
王炳懿
张毅超
周琛
CAO Zhiwei;OU Chongyang;WANG Bingyi;ZHANG Yichao;ZHOU Chen(Faculty of Medical Imaging,Naval Medical University,Shanghai 200433,China;School of Electronic and Information Engineering,Tongji University,Shanghai 201804,China;Research and Development Center,Shanghai Jisuan Information Technology Co.,Ltd.,Shanghai 200433,China;School of Mining Engineering,Anhui University of Science and Technology,Huainan 232001,China)
出处
《计算机测量与控制》
2024年第12期257-262,287,共7页
Computer Measurement &Control
基金
科技部重点研发计划(2021YFC3300304)
国家自然科学基金面上项目(62172300)。
关键词
云原生架构
影像医学
教学应用
云计算
医学教育
cloud-native architecture
imaging medicine
teaching application
cloud computing
medical education
