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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Detalles Bibliográficos
Autores principales: Bing, Lu, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
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

Internet

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

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