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Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification
We propose a novel method based on sparse representation for breast ultrasound image classification under the framework of multi-instance learning (MIL). After image enhancement and segmentation, concentric circle is used to extract the global and local features for improving the accuracy in diagnos...
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| Publicat a: | Comput Math Methods Med |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5463197/ https://ncbi.nlm.nih.gov/pubmed/28690670 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/7894705 |
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