Medical image processing system based on micro-service framework

Abstract

The invention discloses a medical image processing system based on a micro-service framework. The system comprises a management background, an operation foreground and a gateway communication based onmedical information transmission, and the management background and the operation foreground are in communication connection through a gateway based on medical information transmission. According tothe invention, any type of algorithm can be accessed at extremely low cost, the system iMips disclosed by the invention forms an available product which can be directly delivered to the user end, so that the doctor can provide image data analysis and provides a solution for intelligent analysis of medical images, the algorithm programs in different languages and with different functions are organized and managed in an extremely loose structure to form a set of good algorithm competition ecosystem, and the requirements of the medical image analysis dynamic real-time scheduling algorithm are met. Meanwhile, a cross-platform and cross-screen foreground is designed, an image analysis processing result can be presented to a doctor on a plurality of instruments, so that the development and maintenance cost of medical image analysis software is reduced.

Description

technical field [0001] The invention relates to the technical field of medical image analysis, in particular to a medical image processing system based on a microservice framework. Background technique [0002] At present, the mainstream medical image processing systems on the market are all algorithm-intensive special software, which integrates a large number of algorithm processing modules. In the process of developing algorithm-intensive special software, it is the core step to convert the language codes used by different algorithms into the unified programming language used by the project. In the traditional software engineering development process, this process consumes a lot of time and workload, and the technical services for later expansion and modification of algorithm functions are very expensive. In addition, especially in the engineering application of medical image processing software, the usage habits of doctors and the individuality of diagnosis process are v...

AI Technical Summary

Problems solved by technology

However, the business of processing medical images needs to schedule multiple algorithms, and adding, deleting, modifying and querying operations in the algorithm pool will change the data flow

Due to the huge amount of medical image data, the existing technical architecture is difficult to meet the demand for dynamic changes in algorithm functions, and often fails to meet the practical requirements in the scheduling and use of algorithm resources and data flow planning and processing.

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