Résumé
Objective To propose a remote printing mode for hospital clinical report to enhance the efficiency of clinical staffs.Methods A function module for report export was developed based on scheme demonstration,and the obstacles between internal and external networks were eliminated.Results The mode had the clinical requirements satisfied,medical errors avoided and medical cost saved.Conclusion The mode can be implemented in some hospital with multi sections and ununified information systems,and thus has practical values.
Résumé
This paper is aimed to fulfill a prototype system used to classify and retrieve retinal image automatically. With the content-based image retrieval (CBIR) technology, a method to represent the retinal characteristics mixing the fundus image color (gray) histogram with bright, dark region features and other local comprehensive information was proposed. The method uses kernel principal component analysis (KPCA) to further extract nonlinear features and dimensionality reduced. It also puts forward a measurement method using support vector machine (SVM) on KPCA weighted distance in similarity measure aspect. Testing 300 samples with this prototype system randomly, we obtained the total image number of wrong retrieved 32, and the retrieval rate 89.33%. It showed that the identification rate of the system for retinal image was high.