Shape-based tumor retrieval in mammograms using relevance-feedback techniques
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
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Earlier researches have proved that the gray co-occurrence matrix representing the texture feature is more effective than many other features in the sternum image retrieval and the relevance feedback technology implementing man-machine interactive retrieval enhance retrieval efficiency. Based on these conclusions, in this paper, a new relevance feedback method based on minimal Bayesian error rate in sternum image retrieval is proposed. The comparison of feedback retrieval result shows the approach is effective.