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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...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3674657/ https://ncbi.nlm.nih.gov/pubmed/23762196 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/713174 |
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