Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization

Abstract Background Segmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their heterogeneous nature in terms of size, appearance and location. Manual tumor segmentation is a time-consuming task and clinical practice would benefit from (semi-) automated segmentation of the...

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Bibliographic Details
Main Authors: Nicolas Sauwen, Marjan Acou, Diana M. Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BMC Medical Imaging
Subjects:
MRI
Segmentation
Brain tumors
Non-negative matrix factorization
Unsupervised classification
Online Access:http://link.springer.com/article/10.1186/s12880-017-0198-4

Internet

http://link.springer.com/article/10.1186/s12880-017-0198-4

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