The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization

Non-negative matrix factorization (NMF) has become a widely used tool for additive parts-based analysis in a wide range of applications. As NMF is a non-convex problem, the quality of the solution will depend on the initialization of the factor matrices. In this study, the successive projection algo...

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Bibliographic Details
Published in:	PloS one Vol. 12; no. 8; p. e0180268
Main Authors:	Sauwen, Nicolas, Acou, Marjan, Bharath, Halandur N., Sima, Diana M., Veraart, Jelle, Maes, Frederik, Himmelreich, Uwe, Achten, Eric, Van Huffel, Sabine
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 28.08.2017 Public Library of Science (PLoS)
Subjects:	Algorithms Brain Brain - diagnostic imaging Brain cancer Brain Neoplasms - diagnostic imaging Brain tumors Clustering Computer and Information Sciences Data analysis Decomposition Dynamical systems Electrical engineering Factorization Humans Image processing Image Processing, Computer-Assisted - methods Image segmentation Magnetic resonance Magnetic Resonance Imaging Medical imaging Medicine and Health Sciences Neuroimaging Neurosciences Pattern Recognition, Automated - methods Physical Sciences Reproducibility Research and Analysis Methods Segmentation Signal processing Belgium
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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