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A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization
Joint Authors
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We present a method based on generalized N-dimensional principal component analysis (GND-PCA) and a 3D shape normalization technique for statistical texture modeling of the liver.
The 3D shape normalization technique is used for normalizing liver shapes in order to remove the liver shape variability and capture pure texture variations.
The GND-PCA is used to overcome overfitting problems when the training samples are too much fewer than the dimension of the data.
The preliminary results of leave-one-out experiments show that the statistical texture model of the liver built by our method can represent an untrained liver volume well, even though the mode is trained by fewer samples.
We also demonstrate its potential application to classification of normal and abnormal (with tumors) livers.
American Psychological Association (APA)
Qiao, Xu& Chen, Yen-Wei. 2011. A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-484124
Modern Language Association (MLA)
Qiao, Xu& Chen, Yen-Wei. A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-484124
American Medical Association (AMA)
Qiao, Xu& Chen, Yen-Wei. A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-484124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484124