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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-7
Hauptverfasser:	Jiang, Huiyan, Zhao, Di, Feng, Tianjiao, Liao, Shiyang, Chen, Yen-Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational Biology Diagnosis, Computer-Assisted - statistics & numerical data Humans Pancreatic Diseases - classification Pancreatic Diseases - diagnosis Pancreatic Diseases - diagnostic imaging Pancreatic Neoplasms - classification Pancreatic Neoplasms - diagnosis Pancreatic Neoplasms - diagnostic imaging Principal Component Analysis Quantum Theory Radiographic Image Interpretation, Computer-Assisted Support Vector Machine Tomography, X-Ray Computed - statistics & numerical data
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!