A Medical Image Retrieval Framework using Genetically Optimized Elman Neural Network
نویسنده
چکیده
In this paper, a Content Based Image Retrieval (CBIR) framework for medical images has been presented. An algorithm based on energy information obtained from Hilbert Transform for extracting features from medical images based on imaging modalities. The features are selected on the basis of the correlation among the extracted vectors depending upon the class label. An enhanced Genetic Algorithm Optimized based Elman (GAOE) Neural Network for image retrieval is presented. The performance of proposed method has been evaluated using a dataset consisting of 180 medical images. The experimental results demonstrated that the efficiency of the GAOE neural network is high compared to methods using low-level features. [T. Baranidharan and D. K. Ghosh. A Medical Image Retrieval Framework using Genetically Optimized Elman Neural Network. Life Sci J 2013;10(4s):542-548] (ISSN: 1097-8135). http://www.lifesciencesite.com. 82
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