RESUMEN
Objective To develop a retrieval system about medical imaging diagnosis results in comparison with the pathological diagnosis. Methods B/S structure, Internet technologies such as Web, Node.js were used to provide local area network retrieval service so as to meet the requirements for data collection, mining, retrieval and browsing, and then other functions were realized on these grounds. Results A retrieval system was implemented with low cost, high performance, high maintainability, high expansibility and high portability. Conclusion The system provides an efficient and powerful tool for the improvement of the quality of medical imaging diagnosis. Whether for the information system of small and medium-sized hospitals or large hospitals and institutes, the model has very high application potential and value.