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Dual-force ISOMAP: a new relevance feedback method for medical image retrieval.

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Academic year: 2017

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Figure 2. Semantically-alike medical images have a different visual appearance. The mammograms shown in this figure belong to the same semantic category, though they have a different visual appearance
Figure 3. Relevance feedback-based medical image retrieval framework.
Figure 6. MAP values of DFISOMAP, LPP, BDA, ELPP, LLE, LDA, ISOMAP and CSVM. Subfigures (A), (B), (C), (D) and (E) detail MAP values in the top 10, top 20, top 30, top 40 and top 50 results, respectively.
Figure 7. SD values of DFISOMAP, LPP, BDA, ELPP, LLE, LDA, ISOMAP and CSVM. Subfigures (A), (B), (C), (D) and (E) detail SD values in the top 10, top 20, top 30, top 40 and top 50 results, respectively.
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