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Associative Classification of Mammograms using Weighted Rules
In this paper, we present a novel method for the classification of mammograms using a unique weighted association rule based classifier. Images are preprocessed to reveal regions of interest. Texture components are extracted from segmented parts of the image and discretized for rule discovery. Assoc...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2009
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2774242/ https://ncbi.nlm.nih.gov/pubmed/20160889 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.eswa.2008.12.050 |
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