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MammoSys: A content-based image retrieval system using breast density patterns

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Academic year: 2018

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Table 1 summarizes some of the published works based on breast density for classification and retrieval.
Fig. 1 – Mammographies of different breast tissues: (a) almost entirely fatty, (b) scattered fibroglandular fatty , (c) heterogeneously dense, and (d) extremely dense.
Fig. 2 – MammoSys CBIR system scheme. In the off-line stage of the system, the images of the database are processed and characterized as vectors in a lower-dimensional feature space
Table 3 – Average precision for the selected d first eigenvalues. d 2DPCA SVD PCA 1 83.86% 65.93% 67.86% 2 86.03% 74.23% 68.30% 3 87.96% 77.5% 69.05% 4 90.87% 78.49% 69.56% 5 97.83% 78.27% 69.98% 6 97.67% 78.23% 69.8% 7 97.09% 78.36% 70.39% 8 97.00% 78.39%
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