Effective shape-based retrieval and classification of mammograms
Proceedings of the 2006 ACM symposium on Applied computing
A fast and effective method to find correlations among attributes in databases
Data Mining and Knowledge Discovery
Proceedings of the 2008 ACM symposium on Applied computing
Improving CBIR using feature extraction based on wavelet transform
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
Fast fractal stack: fractal analysis of computed tomography scans of the lung
MMAR '11 Proceedings of the 2011 international ACM workshop on Medical multimedia analysis and retrieval
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This paper proposes the use of fractal analysis as a means to discriminate textured segmented regions of medical images. We show that the use of the fractals can boost the representation level of traditional image features allowing high rates of precision when answering similarity queries over images employing a variance weighted Manhattan distance. The cost to compute the fractal measurements is linear on the image size, what makes their use a suitable choice for large sets of images.