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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463197/ https://www.ncbi.nlm.nih.gov/pubmed/28690670 http://dx.doi.org/10.1155/2017/7894705 |