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• W2298952273 abstract "Due to the increase in the sources of image acquisition and storage capacity, thesearch for relevant information in large medical image databases has become morechallenging. Classification of medical data into different categories is an importanttask, and enables efficient cataloging and retrieval with large image collections. Themedical image classification systems available today classify medical images based onmodality, body part, disease or orientation. Recent work in this direction seek to usethe semantics of medical data to achieve better classification. However, representationof semantics is a challenging task and sparse representation has been explored in thisthesis for this task." @default.
• W2298952273 created "2016-06-24" @default.
• W2298952273 creator A5054879908 @default.
• W2298952273 date "2015-01-01" @default.
• W2298952273 modified "2023-09-27" @default.
• W2298952273 title "Classification of Medical Data Based On Sparse Representation Using Dictionary Learning" @default.
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• W2298952273 hasPublicationYear "2015" @default.
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