Medical image retrieval using hybrid wavelet network classifier

Nowadays the amount of imaging data is rapidly increasing with the widespread dissemination of picture archiving in medical systems. Effective image retrieval systems are required to manage these complex and large image databases. Indexing medical images become, for clinical applications, an essential and effective tool which assists the monitoring in diagnosis therapeutic. CBIR (Content Based Image Retrieval) is one of the possible solutions to manage effectively these bases. In order to achieve this application, we have to ensure these key tasks: indexing medical images and classification. Accordingly to accomplish this work, medical images are indexed and classified using wavelet network classifier (WNC) based on fast wavelet transform (FWT) for its robustness and for its pertinent results in the classification domain.