Segmentation of malignant gliomas through remote collaboration and statistical fusion

Purpose: Malignant gliomas represent an aggressive class of central nervous system neoplasms. Correlation of interventional outcomes with tumor morphometry data necessitates 3D segmentation of tumors (typically based on magnetic resonance imaging). Expert delineation is the long-held gold standard f...

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Bibliographic Details
Published in:Medical physics (Lancaster) Vol. 39; no. 10; pp. 5981 - 5989
Main Authors: Xu, Zhoubing, Asman, Andrew J., Singh, Eesha, Chambless, Lola, Thompson, Reid, Landman, Bennett A.
Format: Journal Article
Language:English
Published: United States American Association of Physicists in Medicine 01.10.2012
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ISSN:0094-2405, 2473-4209, 0094-2405
Online Access:Get full text
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