With the rapid development of medical imaging technologies, images, and especially digital images, are produced in ever-increasing quantities and more and more important in diagnostics and therapy. This article proposes a retrieval methodology based on multi-feature for CT images of chest scan. Experiments on 1000 CT images of chest scan demonstrate that retrieval based on multi-feature together with proper feedback can get better performance than on single feature.
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