Application of Computing Platform with Cloud-native Architecture in Medical Imaging Teaching
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.
万方数据
维普
