A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation

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Title:	A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation
Author(s):	Vijverberg, Koen; Ghafoorian, M.; Uden, I.W.M. van ; Leeuw, F.-E. de; Platel, B.; Heskes, T.
Publication year:	2016
In:	Proceedings of Spie - The International Society for Optical Engineering, (2016)Tourassi, G.D. (ed.), Medical Imaging 2016: Computer-Aided Diagnosis : San Diego, California, United States \| February 27, 2016, pp. 97851C-97851C-7
Publisher:	[S.l.] : SPIE
ISSN:	0277-786X
DOI:	https://doi.org/10.1117/12.2216409
Publication type:	Article in monograph or in proceedings
Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/158083
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Editor(s):	Tourassi, G.D.
Subject:	Data Science
Organization:	Data Science
Journal title:	Proceedings of Spie - The International Society for Optical Engineering
Book title:	Tourassi, G.D. (ed.), Medical Imaging 2016: Computer-Aided Diagnosis : San Diego, California, United States \| February 27, 2016
Page start:	p. 97851C
Page end:	p. 97851C-7