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- W2113670863 abstract "Medical image databases are a key component in future diagnosis and preventive medicine. Automatic clustering of medical images plays an important role for structuring of a given medical database as well as for searching and retrieval of biomedical images. This paper introduces a new approach for efficient clustering of x-ray images based on various levels of image features. Initially, for each given x-ray image, features have been extracted from three different levels, namely, global, local and pixel. Finally, a new approach, a combination of k-means and hierarchical clustering techniques, has been applied in order to cluster x-ray images. The experimental results are also presented at the end of this paper." @default.
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- W2113670863 date "2010-01-01" @default.
- W2113670863 modified "2023-09-24" @default.
- W2113670863 title "A New Approach for Clustering of X-ray Images" @default.
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