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Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases
A novel method is proposed to establish the classifier which can classify the pancreatic images into normal or abnormal. Firstly, the brightness feature is used to construct high-order tensors, then using multilinear principal component analysis (MPCA) extracts the eigentensors, and finally, the cla...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674657/ https://www.ncbi.nlm.nih.gov/pubmed/23762196 http://dx.doi.org/10.1155/2013/713174 |