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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Detalles Bibliográficos
Autores principales: Jiang, Huiyan, Zhao, Di, Feng, Tianjiao, Liao, Shiyang, Chen, Yenwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
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

Internet

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

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